#Mainframe in healthcare

[arichinfotech]

What is COBOL Mainframe Programming?

COBOL (Common Business Oriented Language) is one of the oldest high-level programming languages, specifically designed for business, finance, and administrative systems. Developed in the late 1950s and officially standardized in 1960, COBOL was created to provide a platform-independent language for data processing and large-scale transaction management.

The Role of COBOL in Mainframe Systems

Mainframes are powerful computers designed to handle and process massive amounts of data and transactions, often in real-time. COBOL serves as the backbone of mainframe systems, powering critical applications in industries such as banking, insurance, healthcare, government, and retail.

Key Features of COBOL Programming

Readable Syntax: COBOL uses English-like syntax, making it easier for non-programmers to understand and maintain the code.

Scalability: It efficiently handles vast amounts of transactions and data.

Legacy Integration: COBOL systems integrate seamlessly with legacy systems, which are still widely used in critical operations.

Batch and Real-time Processing: COBOL supports both batch processing (handling large data jobs) and real-time processing (instantaneous transaction execution).

Precision and Accuracy: The language excels in financial computations, ensuring reliable results.

Why COBOL Remains Relevant Today

Despite being decades old, COBOL continues to run a significant percentage of global financial transactions. Its reliability, efficiency, and ability to handle large-scale data processing make it irreplaceable in many legacy systems. Additionally, modern COBOL compilers and integration tools have allowed developers to modernize COBOL applications without rewriting entire systems.

Career Opportunities in COBOL Mainframe Programming

Due to the reliance on legacy systems, COBOL programmers remain in demand. Roles in COBOL programming typically involve maintaining and enhancing existing systems, migrating legacy systems to modern platforms, and ensuring uninterrupted operations of mission-critical applications.

Conclusion

COBOL mainframe programming is far from obsolete. As businesses continue to rely on stable, secure, and efficient transaction processing systems, COBOL programmers will play an essential role in maintaining and innovating these platforms. Whether you're an aspiring developer or an experienced programmer, learning COBOL can open doors to unique opportunities in industries that drive global economies.

[mediatechgroup]

What is WatsonX AI

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Understanding WatsonX AI: An Informational Guide for AI Enthusiasts

In the fast-paced world of Artificial Intelligence, new developments are always emerging. One standout innovation attracting attention from both AI enthusiasts and professionals is WatsonX AI. Created by IBM, WatsonX is revolutionizing AI with its unique offerings. But what exactly is WatsonX AI, and why is it so special?

The Legacy of IBM in Technology

IBM, or International Business Machines Corporation, has been a major player in the tech industry for decades. They've evolved from mainframes to modern cloud computing, always staying innovative. In the fields of Machine Learning (ML) and Artificial Intelligence (AI), IBM's contributions have been groundbreaking. Their Watson platform has been a game-changer, proving AI's potential in healthcare, customer service, and even entertainment.

Introduction to WatsonX AI

WatsonX is the next step in IBM's AI evolution. But what is WatsonX AI? It’s a suite of AI tools designed to make AI projects easier to implement and scale. Whether you’re a seasoned data scientist or just starting, WatsonX has solutions for everyone. From powerful Machine Learning models to customizable algorithms, WatsonX is setting new AI standards.

Key Features of WatsonX AI

Ease of Use: WatsonX is designed to be user-friendly, so you don’t need to be a coding expert to use it effectively.

Customizability: The platform lets you adjust algorithms and models to fit your specific needs.

Scalability: WatsonX easily scales from small projects to large enterprise applications.

Integration: It integrates seamlessly with other IBM platforms and tools, embedding AI into existing workflows smoothly.

WatsonX AI in Action

Seeing WatsonX AI in real-world scenarios can be eye-opening, especially for those new to AI. One remarkable use is in healthcare, where WatsonX analyzes large sets of medical data to help doctors make more accurate diagnoses and treatment plans. In the business world, companies use WatsonX to improve customer service by answering common questions and solving issues faster.

Media & Technology Group, LLC and WatsonX AI

At Media & Technology Group, LLC, we know how powerful AI can be in boosting business processes. By integrating WatsonX into our services like Artificial Intelligence Implementation and Marketing Automation, we’ve enhanced our offerings significantly. Our clients enjoy more efficient operations, better decision-making, and improved customer experiences.

Benefits of WatsonX AI

Time Efficiency: Automate routine tasks, freeing up time for more complex problem-solving.

Data Accuracy: Advanced algorithms ensure high accuracy in data analysis.

Cost Savings: Reducing the need for manual labor leads to significant savings over time.

Innovation: Pushes the boundaries of what’s possible, inspiring new ideas and solutions.

Getting Started with WatsonX AI

If you’re eager to explore WatsonX AI, here’s how to start:

Training: IBM offers courses and materials online to help you learn WatsonX’s basics and

[itvisionists]

Understanding the fundamentals of business automation

Automation has impacted practically every industry throughout the years, including healthcare systems, assembly lines, and ATMs. However, automation is being elevated to a whole new level by machine learning and artificial intelligence (AI). The way people and machines interact is changing as a result of this so-called "intelligent automation," which enables organizations to grow their clientele, boost productivity, and succeed in competitive marketplaces.  In actuality, studies demonstrate the enormous financial advantages of automation. According to the IBM Institute for Business Value, AI-enabled automation will produce a labor value of billions of dollars in 2022 alone.  This essay examines how business automation is evolving, why it's important now, and what to think about if you want to use automation in your own company. 

Business automation: What is it?The use of technology to automate monotonous operations and free up employees for higher-value work is known as business automation. This covers robotic process automation (RPA), business process automation (BPA), and automation driven by artificial intelligence.  Automation used to require enormous mainframes and a team of specialists to maintain them. These days, businesses of all sizes may access the capabilities thanks to cloud-based automation tools. 

The following are some examples of business automation types:

 1.      Basic automation: Basic automation is the process of automating basic, elementary tasks. Basic automation technologies digitize repetitive activities with little to no coding, reducing errors and speeding up transactional activity. Two instances of basic automation are RPA and business process management (BPM). 2.     Process automation: Process automation maintains consistency and openness in company processes. Process automation, which is frequently managed by specialized software, can boost output and efficiency while also providing insightful business data. Examples of process automation include workflow automation and process mining.

3.     Advanced automation: This type of automation integrates many systems inside an organization by combining human and machine capabilities. Advanced automation, which facilitates intricate procedures, depends on unstructured data in conjunction with machine learning, natural language processing, and analysis. It encourages decision support for specialized work and knowledge management. 

4.     Intelligent automation: AI-powered intelligent automation enables robots to "learn" and decide for themselves depending on scenarios they have seen and examined. AI-powered virtual assistants, for instance, can lower expenses in customer service while facilitating more intelligent interactions between customers and human workers. An improved level of customer service is the outcome. 

What makes business automation crucial?

Automation is a wonderful approach to accelerate business growth and streamline processes, regardless of the size of your company. Automation tools allow you to shift human labor to other areas of the business by substituting machine labor for human labor.

 Businesses must continuously use best practices and tested automation software across all workflows to fully benefit from automation. This includes streamlining internal procedures and enabling faster-digitized consumer experiences.

Nevertheless, not every solution has every piece of technology required to automate end-to-end processes. This may result in several-point solutions, increased expenses, and a scalability issue. 

Business automation advantages: Business automation is essential in a world that is changing quickly. It can be difficult to foresee which customer behaviors, such as sharply changing demand or increased health and safety concerns, would endure beyond the pandemic.

However, you do have some control over how you handle the experiences you give your clients. You can improve or adjust these experiences with automation, particularly when it's paired with AI. This will increase revenue, make better use of your resources, and boost customer pleasure.  Using an automation platform that assists you in doing the following is one of the greatest ways to accomplish this: 

1.      Identify procedures: Identify areas of your business where there are inefficiencies or hotspots to assist decide where automated procedures can have the biggest impact. Modeling and process mining are involved in this.

2.     Apply intelligence: Make recommendations for actions based on data from automating your processes using AI and machine learning, freeing up personnel for more strategic duties.

3.     Expand your personnel: Create RPA tools and send out digital workers to work alongside people whenever increased productivity may be attained or when support is required.

4.      Automate core operations: To satisfy business demands, apply fundamental automation capabilities—document processing, workflow orchestration, content services, and decision management—to critical operational areas.

[maintec]

What is z/OS in Mainframe?

Originally designed for large-scale computations, Mainframes now meet modern enterprise demands. From early models to today’s sophisticated systems, mainframes showcase continuous innovation.

At the heart of modern mainframe computing is z/OS, IBM’s premier operating system for Z series mainframes. z/OS provides a reliable, secure, and scalable platform for mission-critical applications, supporting diverse workloads from batch processing to online transaction processing (OLTP).

Core Features of z/OS

High Availability and Scalability : z/OS is renowned for its high availability, designed to minimize downtime and ensure continuous operation during hardware failures or system upgrades. Its scalability allows organizations to handle increasing workloads without compromising performance.

Advanced Security Mechanisms : Security is paramount in today’s digital landscape, and z/OS excels here. It offers advanced encryption, multi-level security policies, and rigorous access controls, making it a preferred choice for industries like finance, healthcare, and government where data integrity and confidentiality are essential.

Workload Management : Efficient workload management is vital for optimal system performance. z/OS’s Workload Manager (WLM) dynamically allocates resources based on workload priorities, ensuring responsive and efficient operations across all applications.

Technical Architecture of z/OS

System Components and Structure: The architecture of z/OS includes numerous components working in harmony for exceptional performance. Key components like the Job Entry Subsystem (JES), Resource Management Facility (RMF), and System Management Facility (SMF) are crucial to its functionality.

Virtualization and Resource Management: Virtualization is central to z/OS, allowing multiple logical partitions (LPARs) to run on a single physical mainframe. The z/OS hypervisor, PR/SM (Processor Resource/System Manager), ensures efficient resource utilization and workload isolation.

Subsystems and Middleware Integration: z/OS supports subsystems and middleware, including CICS (Customer Information Control System), IMS (Information Management System), and DB2. These tools are essential for transaction processing, database management, and application integration, enhancing the platform’s versatility.

The Future of z/OS

Innovations and Technological Advancements : The future of z/OS is promising, with continuous innovations. IBM is enhancing z/OS with machine learning, artificial intelligence, and advanced analytics, elevating its capabilities to meet modern enterprise demands.

Integration with Modern Technologies : z/OS integrates with contemporary technologies such as cloud computing, blockchain, and the Internet of Things (IoT). These integrations transform z/OS into a versatile platform, supporting a wide array of modern applications and services.

Combining decades of innovation with cutting-edge features, z/OS delivers a powerful and versatile platform. Its role in supporting mission-critical applications across various industries underscores its importance, reaffirming its position as a leader in enterprise computing.

[roamnook]

Google Cloud transforms your business with top-notch AI, ML, and multicloud solutions. Experience global infrastructure, data cloud, and open cloud capabilities for smarter decisions. Visit the website for more insights.

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Accelerate Your Digital Transformation with Google Cloud

Overview

Google Cloud is a leading technology solution provider, offering a wide range of services to help businesses of all sizes accelerate their digital transformation. Whether you are just starting your journey or are well on your way, Google Cloud has the expertise and technology to help you solve your toughest challenges.

Learn more

Key Benefits

Top reasons businesses choose Google Cloud

Enterprise-ready AI

Run your apps wherever you need them with multicloud

Build on the same infrastructure as Google with global infrastructure

Make smarter decisions with unified data using Data Cloud

Scale with open, flexible technology with Open Cloud

Protect your users, data, and apps with robust security

Connect your teams with AI-powered apps for Productivity and collaboration

Reports and Insights

Curated C-suite perspectives in Executive insights

Read what industry analysts say about Google Cloud in Analyst reports

Browse and download popular whitepapers in Whitepapers

Explore case studies and videos in Customer stories

Solutions

Google Cloud offers a wide range of industry-specific solutions to address the specific needs and challenges of different sectors. Here are some of the key solutions:

Retail: Analytics and collaboration tools for the retail value chain

Consumer Packaged Goods: Solutions for CPG digital transformation and brand growth

Financial Services: Computing, data management, and analytics tools for financial services

Healthcare and Life Sciences: Advance research and empower healthcare innovation

Media and Entertainment: Solutions for content production and distribution operations

Telecommunications: Hybrid and multi-cloud services to deploy and monetize 5G

Games: AI-driven solutions to build and scale games faster

Manufacturing: Migration and AI tools to optimize the manufacturing value chain

Supply Chain and Logistics: Enable sustainable, efficient, and resilient data-driven operations

Government: Data storage, AI, and analytics solutions for government agencies

Education: Teaching tools to provide more engaging learning experiences

Application Modernization

Google Cloud provides comprehensive solutions for modernizing your business applications. Whether you need to assess, plan, implement, or measure software practices and capabilities, Google Cloud has you covered.

CAMP Program: Improve your software delivery capabilities using DORA

Modernize Traditional Applications: Analyze, categorize, and migrate traditional workloads to the cloud

Migrate from PaaS: Cloud Foundry, Openshift: Tools for moving your containers to Google's managed container services

Migrate from Mainframe: Automated tools and guidance for moving mainframe apps to the cloud

Modernize Software Delivery: Best practices for software supply chain, CI/CD, and S3C

DevOps Best Practices: Processes and resources for implementing DevOps in your organization

SRE Principles: Tools and resources for adopting Site Reliability Engineering in your organization

Day 2 Operations for GKE: Tools and guidance for effective Google Kubernetes Engine management

FinOps and Optimization of GKE: Best practices for running reliable and cost-effective applications on GKE

Run Applications at the Edge: Guidance for localized and low-latency apps on Google's edge solution

Architect for Multicloud: Manage workloads across multiple clouds with a consistent platform

Go Serverless: Fully managed environment for developing, deploying, and scaling apps

Artificial Intelligence

Add intelligence and efficiency to your business with Google Cloud's AI and machine learning solutions. Whether you are looking to implement conversational AI, document processing, or product recommendation, Google Cloud has the right tools for you.

Contact Center AI: AI model for speaking with customers and assisting human agents

Document AI: Automated document processing and data capture at scale

Product Discovery: Google-quality search and product recommendations for retailers

APIs and Applications

Speed up the pace of innovation without coding using Google Cloud's APIs, apps, and automation tools. Whether you want to attract new developers and partners, modernize legacy applications, or simplify open banking compliance, Google Cloud has you covered.

New Business Channels Using APIs: Attract and empower an ecosystem of developers and partners

Unlocking Legacy Applications Using APIs: Cloud services for extending and modernizing legacy apps

Open Banking APIx: Simplify and accelerate secure delivery of open banking compliant APIs

Databases

Migrate and manage enterprise data with security, reliability, high availability, and fully managed data services. Whether you are looking to simplify your database migration life cycle or run SQL Server virtual machines on Google Cloud, Google Cloud's database solutions have got you covered.

Database Migration: Guides and tools to simplify your database migration life cycle

Database Modernization: Upgrades to modernize your operational database infrastructure

Databases for Games: Build global live games with Google Cloud databases

Data Cloud

Unify data across your organization with Google Cloud's open and simplified approach to data-driven transformation. Whether you need to migrate and manage enterprise data, generate instant insights from data, or innovate and optimize your SaaS applications, Google Cloud has the data solutions you need.

Data Warehouse Modernization: Jumpstart your migration and unlock insights with data warehouse

Data Lake Modernization: Services for building and modernizing your data lake

Spark on Google Cloud: Run and write Spark where you need it, serverless and integrated

Smart Analytics: Generate instant insights from data at any scale with a serverless, fully managed analytics platform

Business Intelligence: Solutions for modernizing your BI stack and creating rich data experiences

Data Science: Put your data to work with Data Science on Google Cloud

Marketing Analytics: Solutions for collecting, analyzing, and activating customer data

Geospatial Analytics and AI: Solutions for building a more prosperous and sustainable business

Startups and SMB

Google Cloud offers tailored solutions and programs to accelerate startup and SMB growth. Whether you are a startup looking for proven technology or an SMB exploring solutions for web hosting, app development, AI, and analytics, Google Cloud has the right tools to fuel your growth.

Startup Solutions: Grow your startup and solve your toughest challenges using Google’s proven technology

Startup Program: Get financial, business, and technical support to take your startup to the next level

Small and Medium Business: Explore solutions for web hosting, app development, AI, and analytics

Software as a Service: Build better SaaS products, scale efficiently, and grow your business

Featured Products

Compute Engine: Virtual machines running in Google’s secure data center for increased flexibility

Cloud Storage: Secure, durable, and scalable object storage

BigQuery: Data warehouse for business agility and insights

Cloud Run: Fully managed environment for running containerized apps

Google Kubernetes Engine: Managed Kubernetes service for running containerized apps

Vertex AI: Unified platform for machine learning models and generative AI

Vertex AI Studio: Build, tune, and deploy foundation models on Vertex AI

Vertex AI Search and Conversation: Build generative AI apps for search and conversational AI

Apigee API Management: Manage the full life cycle of APIs with visibility and control

Cloud SQL: Relational database services for MySQL, PostgreSQL, and SQL Server

Cloud SDK: Command-line tools and libraries for Google Cloud

Cloud CDN: Content delivery network for delivering web and video

See all products

AI and Machine Learning

Vertex AI Platform: Unified platform for ML models and generative AI

Vertex AI Studio: Build, tune, and deploy foundation models on Vertex AI

Vertex AI Search and Conversation: Generative AI apps for search and conversational AI

Dialogflow: Lifelike conversational AI with virtual agents

Security

Security Analytics and Operations: Solution for analyzing petabytes of security telemetry

Web App and API Protection: Threat and fraud protection for your web applications and APIs

Security and Resilience Framework: Solutions for each phase of the security and resilience life cycle

Risk and compliance as code (RCaC): Solution to modernize your governance, risk, and compliance function with automation

Software Supply Chain Security: Solution for improving end-to-end software supply chain security

Security Foundation: Recommended products to help achieve a strong security posture

Smart Analytics

Data Warehouse Modernization: Jumpstart your migration and unlock insights with data warehouse

Data Lake Modernization: Services for building and modernizing your data lake

Spark on Google Cloud: Run and write Spark where you need it, serverless and integrated

Smart Analytics: Generate instant insights from data at any scale with a serverless, fully managed analytics platform

Business Intelligence: Solutions for modernizing your BI stack and creating rich data experiences

Data Science: Put your data to work with Data Science on Google Cloud

Marketing Analytics: Solutions for collecting, analyzing, and activating customer data

Geospatial Analytics and AI: Solutions for building a more prosperous and sustainable business

Datasets: Data Source: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-autoscaler&sa=U&ved=2ahUKEwi4p8uF6LSGAxUGEGIAHXy-COYQFnoECAEQAw&usg=AOvVaw3TCeRPJFwEWgadT3N9Z0Eu

[jcmarchi]

Ioan Iacob, Founder & CEO at FLOWX.ai – Interview Series

New Post has been published on https://thedigitalinsider.com/ioan-iacob-founder-ceo-at-flowx-ai-interview-series/

Ioan Iacob, Founder & CEO at FLOWX.ai – Interview Series

Ioan Jacob, is the founder and CEO of FLOWX.AI, a revolutionary AI Application Modernization Platform for enterprise mission-critical applications. It is a modern event-driven platform built on a microservices architecture. It uses the most popular industry standards for process modeling, business rule management and integrates as easily with legacy systems as with the latest APIs and RPAs.

What initially attracted you to computer science?

I’ve always been captivated by the concept of leverage—the idea of force multiplication. Computer science, to me, represents the ultimate tool in amplifying the most valuable capability of people: the human mind.

It offers an incredibly rapid path from idea to realization—a trait that has propelled the exponential surge in innovation over the last 50 years. This power of rapid transformation and impact is what initially drew me to computer science.

Now, with FLOWX.AI, we’re redefining how mission-critical software can be built—which means we have an opportunity to boost the growth curve itself.  Our world runs on enterprise software – banking, utilities, agriculture, defense – enterprise software undergirds our civilization.  And there’s so much leverage to bringing the best technology to the enterprise, because that impacts so many lives downstream, and this is why we think we can be so helpful to the world. Today we’re spending trillions of dollars to build, run and maintain that layer of technology.

So, think about it: what if we could make building enterprise software orders of magnitude more efficient?

This would enhance vital services like banking, utilities, or defense—making them more interconnected, user-friendly, and more efficient for people to use. And, maybe even more importantly, with the resources freed up we could considerably accelerate the pace of innovation.

Imagine, for example, a world where government agencies can quickly develop and deploy advanced AI systems to streamline public services, improve healthcare delivery, and address pressing social issues. By optimizing enterprise software development, we can unlock a new era of technological progress and societal advancement.

We’re not just part of the tech revolution; we’re redefining its boundaries of what’s possible.

You previously Co-Founded Qualitance, a platform that designed technology and products for Fortune 500 companies and startups. What was one of the more interesting projects that you worked on, and what did you learn from this experience? 

We were involved in a range of digital transformation projects at Qualitance with both Fortune 500 companies and startups.

This experience brought us to a crucial realization. Despite the rapid evolution in consumer digital products and substantial investments by large corporations, there was a massive gap in building and taking digital solutions to market, especially in mission-critical and core business areas like banking.

This challenge was (and still is) especially pronounced in the financial sector, but is equally prevalent across all enterprise sectors.

We understood the need for digital transformation platforms to provide capabilities on three key dimensions that are today challenging the enterprise:

Integration – it needs to be able to integrate seamlessly with existing complex technology landscapes – from heritage mainframe architectures to modern systems

Rapid modern digital product development – being able to respond to market needs and regulatory requirements in almost real-time.  There is tremendous competition and the IT and business teams need to build modern digital products that provide excellent user experience quickly and cost effectively,

Robustness – reliability, scalability, security: because enterprises handle mission critical workloads, these are non-negotiable requirements.

These observations are at the core of building FLOWX.AI. Our focus is on empowering large enterprises to quickly and efficiently develop and modernize digital platforms, while integrating seamlessly capabilities of any existing or new systems.

When did you first realize that the current methods of software development are broken and not scalable? 

Complexity in the enterprise world has increased exponentially, and so have costs and the time it takes to get products to market.

This is what I’ve experienced working alongside many talented teams in the enterprise world for more than a decade. I have seen how being able to develop robust and good software remains incredibly expensive—despite the access to amazing talent and the proliferation of technologies designed to solve the problem.

Before FLOWX.AI, the only options for developing digital in the enterprise were either inflexible vertical solutions or massive custom development projects trying to blend together multiple technology platforms.

As a result, teams in the enterprise world are constrained by lack of flexibility to build what they need and are limited by proprietary programming languages and legacy systems. This, coupled with the increase in complexity, is holding the most talented teams back. These teams get sucked into tedious and low-return work that barely, marginally moves the needle. Spiraling IT costs along with diminishing returns is one of the toughest challenges enterprises face. This was particularly evident within large financial services organizations.

I can’t emphasize enough how frustrating this is for everyone in the space. It’s depressing for engineers who have to do tedious and unexciting work. It’s keeping business leaders back because they can’t provide their customers with the intuitive, scalable, and connected services they need. So this is what we responded to. We had been working side by side with these people. In fact, we had been these people throughout our careers. So we really understood them and we wanted to fix this problem, to give them back the control of their technology, of their business.

What was the genesis story behind FLOWX.AI?

We had been working on the platform that ultimately became FLOWX.AI for over a decade. We had this massive feeling that we’re sitting on something incredibly powerful, but we couldn’t quite put our finger on it.

Then, during a meeting with Revolut’s team in London, it hit us.  When we learned that Revolut’s business was built on top of Barclays core banking system, we realized that we had on our hands a platform that could enable any bank to develop robust and beautiful mission-critical systems at a speed that was orders of magnitude higher.

Then, our first customer, the largest bank in Southeastern Europe, adopted our technology and started using it as their default digital development platform for a large part of their business— building digital platforms that were facing both customers and employees—from the entire in-branch onboarding for both retail and corporate banking to asset management platforms.  Witnessing the speed at which they were able to develop confirmed we were indeed on the verge of a new revolution. With the same team and existing systems, they were able to  develop in several weeks what used to take a year or more with FLOWX.AI.

Our innovation is the FlowX AI Core, enabled by a scalable, robust, and open architecture. Our AI Core is the first-ever enterprise AI that can cohesively model technology, business processes and business rules, and user experience.  We have been big believers for a long time now in the power of AI to augment and accelerate human potential, and we have brought it to fruition within the core of our platform.

What are some of the current problems with how enterprises are currently viewing code generation?

The challenge with automated code generation is the perception that it is—or that it should be—universally applicable, especially in handling complex systems. While effective for simpler applications, it often falls short in more sophisticated environments. This isn’t just a limitation of the technology itself but stems from the intricacies in creating detailed specifications that such systems require. Automated tools, unlike human engineers, lack the nuanced understanding necessary to bridge and fill in specification gaps, adjust complex logic, and manage deep integration and decision-making processes.

Moreover, there’s a risk in underestimating the value of human input and expertise. Although automation can speed up certain development processes, it hasn’t yet evolved to fully grasp and manage the complexities of advanced systems.

At FLOWX.AI, we have taken a slightly different path. Our approach leverages AI to enhance, not replace, human expertise. We focus on using AI to augment human capabilities, ensuring that the development of complex systems is not just accelerated but also precisely tailored to specific business requirements. This strategy aims to strike a balance, harnessing the speed and efficiency of AI with a “human-in-the-loop” approach, retaining the critical insights and adaptability of human oversight.

Why is replacing coding with no-code or low-code tools not the solution?

The limitations of no-code tools stem from their inherent simplicity which, while user-friendly, fail to meet the specific and complex needs of large-scale enterprises. Low-code also lacks the full power and control of the widespread programming languages—and further, it creates a resourcing constraint, having to find or upskill resources. And what businesses need is the freedom and flexibility to build and innovate. This is why we brought together generative AI with no-code visual design on an open BYOC architecture which can be extended with any programming language.

However, the focus of digital product development goes beyond coding. It encompasses the creation of efficient processes, intuitive products, and seamless user experiences. This holistic approach is vital in addressing the multifaceted challenges of enterprise solution development.

FLOWX.AI was built to meet the end-to-end needs of building digital twins for enterprise businesses. We don’t just focus on coding; we leverage the power of AI to assist in accelerating building complex, bespoke enterprise solutions that consider all aspects of the digital product development lifecycle.

Could you share your views on the benefits of creating a hybrid of low-code and coding?

Creating a hybrid of low-code and coding is very powerful because it offers a unique blend of efficiency, flexibility, and customization.  It provides speed, while still enabling complete control over what people build.

This is part of what we offer. Our approach integrates AI, no-code, and coding techniques to build comprehensive digital solutions. I can break this down into four main areas:

AI-Generated Baseline: Today, the FlowX AI can generate around 60% to 80% of the development process. This AI layer speeds up the creation of fundamental components—process, code, user experience—significantly, reducing initial development time.

No-Code Visual Development: With visual design interfaces, we allow for quick assembly and modification of applications, enabling rapid prototyping and accelerated iterative development loops. This usually takes completion to 90-95%.

Bring-Your-Own-Code (BYOC) for Customization: The remaining bits, which require specific and detailed customizations, are handled through traditional coding BYOC in any programming language. This allows for the creation of highly tailored solutions, ensuring that the final product meets the exact needs and specifications of the customer.

AI-Assisted Development and Optimization: our AI helps enterprise teams maintain consistency over time as they modify and update functionality and experience, but also suggests improvements—from technology to process and user experience—and monitors and identifies problems in real-time.

The key advantage of this hybrid approach can be seen especially when it comes to making changes and maintaining the software. Teams developing on FlowX.ai can add in just a few weeks new functionality that would typically take years to add to an existing system.  That is because we provide features that help users easily make modifications and because our platform encapsulates most of the complexity, handling non-functional requirements such as scalability and security. As a result, any code that needs to be created or modified lies in more isolated components, providing for more control and testability.  This setup makes it easier to change, track and audit changes, but also to test things – leading to a massive reduction in effort and maintenance.

Ultimately, combining AI, no-code, and traditional coding, balances speed and ease of use with the ability to create highly customized and complex enterprise solutions because it blends the speed of gen AI with the accessibility of visual design and the full power and control of programming languages.

More importantly, this approach frees up engineers from a lot of tedious tasks and ongoing maintenance, so innovation doesn’t stall.

How will AI augment engineers versus replacing them?

Our belief is AI can not and will not replace engineers, it will augment their capabilities. The fundamental human element in engineering involves sophisticated thinking and problem-solving, areas where human intellect and creativity are irreplaceable. AI is adept at handling about 80% of tasks, particularly those that are repetitive or considered low-value. AI excels at efficiently processing routine work with speed and accuracy, ultimately enabling them to focus on higher-level problems and innovative solutions.

This is a net-positive for engineers. The key moving forward is to figure out how to create a synergistic relationship where each complements the other, leading to a more productive and innovative engineering environment. This approach underscores a future where AI and human intelligence work in tandem, each playing to their strengths to achieve greater outcomes in the field of engineering and beyond.

Can you discuss the innovative application modernization platform that FLOWX.AI has developed?

FLOWX.AI is the first ever unified platform for end-to-end enterprise digital development, with an open architecture that makes it easy to develop and extend further – with any programming language.

At the core of the platform there is an intelligent orchestration layer that can integrate fast any – literally any type – of existing system, through the intelligent integration layer.  On top of the orchestration layer teams can develop modern digital products again very fast – through our AI-powered omnichannel user experience layer,

As I mentioned previously, FLOWX.AI brings together AI-assisted development, low-code / no-code as well as full coding capabilities. This combination provides enterprises with a flexible, scalable and robust platform they can use to build and take applications to market.

We built FLOWX.AI in response to lack of innovation in application development. Traditional methods are often too rigid and cost prohibitive. No-code solutions, while promising in theory, have frequently fallen short in meeting the specific and complex demands of modern enterprises.  Vertical point solutions are inflexible and hard to customize and develop further – they’re not designed for continuous development.

Our customers are achieving remarkable results. For instance, many of our customers can integrate around 20 systems in just 4-6 weeks and develop, build, and launch complex digital solutions like digital mortgages within 8 to 12 weeks.

Why is this solution able to scale so well?

FLOWX.AI is built on a state-of-the-art, elastically-scalable, event-driven architecture, which relies on microservices and containerization. The use of microservices architecture further enhances scalability by allowing for the independent scaling and updating of different parts of the application without disrupting the entire system.

This fully cloud-native framework ensures agility, resilience, and scalability, crucial for handling the dynamic demands of enterprise-level digital product development. It is also an infrastructure-agnostic architecture, which can be deployed in any cloud / multi-cloud / hybrid cloud setup or on-prem.

It also provides high availability and fault tolerant deployment setups, which are vital for maintaining uninterrupted service in mission-critical applications.

The combination of microservices and containerization in an open architecture positions FLOWX.AI as an ideal platform for enterprises looking to innovate rapidly while maintaining high standards of reliability and security. This architecture not only supports the current technological needs of enterprises but also positions them to effortlessly adapt to future advancements and challenges in the digital landscape.

[jayanthitbrc]

Real-Time Payments Market Growth Trajectory Through 2024-2033

The Real-Time Payments by The Business Research Company provides market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

Learn More On The Real-Time Payments Market: https://www.thebusinessresearchcompany.com/report/real-time-payments-global-market-report

According to The Business Research Company’s Real-Time Payments, The real-time payments market size has grown exponentially in recent years. It will grow from $27.76 billion in 2023 to $36.75 billion in 2024 at a compound annual growth rate (CAGR) of 32.4%. The growth in the historic period can be attributed to consumer demand for instant gratification, mobile and digital wallet adoption, globalization and cross-border transactions, regulatory initiatives, e-commerce growth..

The real-time payments market size is expected to see exponential growth in the next few years. It will grow to $119.21 billion in 2028 at a compound annual growth rate (CAGR) of 34.2%. The growth in the forecast period can be attributed to increasing demand for business efficiency, changing consumer behavior, enhanced security measures, increased financial inclusion initiatives, rise of central bank digital currencies (cbdcs).. Major trends in the forecast period include open banking and api integration, peer-to-peer (p2p) and social payments, blockchain and distributed ledger technology, real-time payroll and business payments, customer experience enhancement..

The increasing penetration of smartphones is expected to propel the growth of the real-time payment market going forward. A smartphone is a portable electrical device that combines a computer with high-tech features that weren't previously seen in telephones, such an operating system, web browsing, and the capacity to run software programs. The widespread usage of smartphones throughout the world facilitated real-time payment transactions, and smartphone payments became a convenient choice for users. For instance, in October 2021, according to The Economic Times, an Indian business newspaper, India has the highest monthly mobile data usage rate in the world (12 GB per person), and it adds 25 million new smartphone users every three months. Therefore, the increasing penetration of smartphones is driving the real-time payment market growth.

Get A Free Sample Of The Report (Includes Graphs And Tables): https://www.thebusinessresearchcompany.com/sample.aspx?id=6864&type=smp

The real-time payments market covered in this report is segmented –

1) By Component: Solutions, Services 2) By Type: Person-to-Person (P2P), Person-to-Business (P2B), Business-to-Person (B2P), Others (Business-to-Government (B2G), Government-to-Business (G2B), Business-to-Business (B2B), Person-to-Government (P2G), and Government-to-Person (G2P)) 3) By Enterprise Size: Small and Medium-Sized Enterprises (SMEs), Large Enterprises 4) By Deployment: On-Premise, Cloud 5) By End Users: Retail and E-commerce, Government and Utilities, Healthcare, Telecom and IT, Travel and Hospitality, BFSI, Other End-Users

Technological advancements have emerged as a key trend gaining popularity in the real-time payments market. Major companies operating in the real-time payments sector are focused on developing new technologies to strengthen their position in the market. For instance, in April 2022, IBM, a US-based technology corporation operating in the real-time payments market, launched a new generation mainframe with artificial intelligence technology. The new IBM z16 processor can support deep learning-based fraud detection for all transactions.

The real-time payments market report table of contents includes:

Executive Summary

Market Characteristics

Market Trends And Strategies

Impact Of COVID-19

Market Size And Growth

Segmentation

Regional And Country Analysis . . .

Competitive Landscape And Company Profiles

Key Mergers And Acquisitions

Future Outlook and Potential Analysis

Contact Us: The Business Research Company Europe: +44 207 1930 708 Asia: +91 88972 63534 Americas: +1 315 623 0293 Email: info@tbrc.info

Follow Us On: LinkedIn: https://in.linkedin.com/company/the-business-research-company Twitter: https://twitter.com/tbrc_info Facebook: https://www.facebook.com/TheBusinessResearchCompany YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ Blog: https://blog.tbrc.info/ Healthcare Blog: https://healthcareresearchreports.com/ Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

[newcastleaustralia]

Empowering Future IT Leaders: Enabling Industry Transformation

 As the digital landscape continues to evolve, the role of Information Technology (IT) has transcended its conventional boundaries, shaping a dynamic era of innovation and transformation.

From its early days with mainframe computers and punch cards in the 1950s to the current era of cloud computing, artificial intelligence (AI), the Internet of Things (IoT), and Big Data analytics, IT has transitioned from a support function to a driving force for transformation across industries.

Modern enterprises rely on the efficient storage and management of data, a cornerstone highlighted by Dr. V. Sithira, Program Coordinator for Newcastle Australia’s Master of Information Technology. An organisation’s data not only sustains day-to-day operations but provides vital information. Data structures within corporations act as knowledge repositories that inform strategic decisions, ultimately enhancing competitive advantage. 

Within this framework, Business Intelligence (BI) emerges as a powerful concept. Encompassing a spectrum of architectures, tools, databases, and methodologies, BI empowers interactive data access and equips business leaders with analytical tools for informed decision-making. The mastery of designing, implementing, and integrating business intelligence techniques into an enterprise becomes paramount.

Fostering Core Competencies for the IT Leaders of Tomorrow

The impact of IT is not limited to specific industries – it is reshaping the landscape in profound ways. As we continue to nurture IT professionals, managers, and consultants of the future, it’s essential to emphasise certain core competencies:

Data Pioneering for Decision-Making: IT professionals play a pivotal role in enabling organisations to extract valuable insights from vast datasets. The ability to identify critical information, design data-driven strategies, and facilitate informed decision-making are skills that define IT leaders.

Building upon these skills, IT has played a transformative role in elevating healthcare particularly in patient care and diagnostics. AI-driven systems can now analyse medical images, enabling early disease detection. For instance, an AI algorithm has been developed to diagnose skin cancer with accuracy comparable to dermatologists. This accelerates diagnoses while minimising errors.

Moreover, AI’s predictive capabilities can identify patients at risk of certain conditions, enabling timely interventions and personalised treatment plans. The digitisation of medical records has streamlined patient care through electronic health records (EHRs), ensuring seamless access to crucial medical information.

Driving Business Intelligence: Beyond the technological facets, mastering the art of leveraging BI tools and methodologies to propel business growth stands as a defining trait of modern IT professionals. This encompasses the cultivation of a culture centred around data-driven decision-making and the seamless translation of insights into actionable strategies.

Incorporating, executing, and harmonising BI techniques within enterprises hold pivotal roles in ensuring efficient operations. Take the case of retailers, who effectively wield data analytics to evaluate purchasing trends and refine inventory management, leading to diminished costs and heightened customer contentment. In a parallel vein, the hospitality and airline sectors employ Big Data analytics to anticipate peak travel periods, enabling calibrated pricing adjustments that amplify both revenue and customer satisfaction. As the realm of IT relentlessly evolves, envision an astute digital assistant that not only secures flight bookings and lodgings but also tailors your itinerary based on personal preferences, drawing from previous travel escapades, areas of interest, and real-time variables such as local weather and events.

Solving Real-World Challenges: Our Information Technology students who are IT professionals of the future are tasked with addressing complex issues across industries, where their skills in modelling management information systems, analysing problems, and designing efficient solutions will set them apart.

Take for example, in agriculture, farmers now deploy sensor-equipped tractors to collect intricate data on soil conditions, ushering in a new era of sustainable and efficient farming practices. The integration of drones and AI further promises the concept of precision agriculture, a paradigm where real-time monitoring and intervention work in harmony to maximise crop yields and minimise resource wastage. In the logistics industry, companies have also harnessed the power of IoT devices to optimise their supply chains. These devices enable real-time monitoring of the location and condition of goods, allowing for streamlined operations and more informed decision-making in the world of commerce.

User-Centric Innovation: In an era driven by user experiences, IT professionals must grasp the intricacies of human-computer interaction. This involves not only crafting intuitive interfaces but also pioneering virtual and augmented reality experiences that deeply resonate with end-users.

Human-Computer Interaction (HCI) assumes a central role in commerce, particularly in the realm of seamless online shopping experiences. E-commerce titans like Amazon and Alibaba have harnessed the power of AI-driven recommendation engines. These engines meticulously analyse user preferences and behaviours to suggest products personalised to each individual shopper. The emergence of virtual reality (VR) and augmented reality (AR) has further narrowed the divide, seamlessly merging the digital and physical realms of retail.

Seizing the Opportunity: Upskilling for the IT Frontier

The World Economic Forum’s 2023 report on The Future of Jobs highlights the evolving terrain of skills and technology. Notably, 42% of surveyed companies prioritise training in AI and big data in the next five years, ranking third in importance. Over 75% of businesses plan to adopt transformative technologies like big data, cloud computing, and AI, driving a digital commerce shift. Intriguingly, companies are now emphasising AI, big data, leadership, and social skills more than their workforce evaluations suggest. These skills are gaining prominence, with 9% of reskilling efforts targeted towards them.

The Masters of  Information Technology Program from the Newcastle Australia is tailor-made for individuals navigating this tech-centric world. Whether you’re a seasoned IT enthusiast or transitioning from other fields, this program equips you with the skills to steer through and harness the potential of IT in emerging industries. For mid-career professionals, it’s a chance not only to stay updated with the latest tech trends but also to drive transformative changes within their sectors. As technology reshapes norms and broadens horizons, the Master of Information Technology offers a strategic pathway to shape the future in this evolving landscape.

Contact our Education Consultant at singapore-enquiry@newcastle.edu.au to find out more today!

[govindhtech]

NTT and Qualcomm’s 5G Alliance

NTT & Qualcomm

The computer moves. We began in the punchcard-driven rooms of the early mainframe era at the tail end of the 1950s and then advanced to the mini-computer era before moving forward once more into the era of the “personal” computer, a device that still bears a striking resemblance to the contemporary machines we are used to.

Computing essentially stood still during the 1980s and as we got closer to the still-popular Microsoft Windows 95 operating system. Things then began to move once more, the Internet transitioned from the early web’s static pages to D-HTML (the D standing for dynamic, if it weren’t obvious), the cloud arrived, and we began to consider how we could produce smaller mobile machines, from smartphones to nanotechnology devices.

Ultimately, we began to build the miniature sensors, accelerometers, and other devices that make up the Internet of Things (IoT) on the Internet.

We live in a time and place where computing occurs on the edge, thus there is no need for another potted history of technology; instead, we must be able to design smarter gadgets for this environment.

What does a smart device mean?

Device smartness in the context of edge computing encompasses more than just applying artificial intelligence (although it does as well), giving these typically smaller machines the ability to process data even when they are offline and not connected, preparing them for the 5G revolution (and the one that will unavoidably come after it), and precision-engineering them to industry-specific standards.

NTT, a multinational provider of cloud infrastructure services, and Qualcomm, a leader in 5G chipsets and application-specific semiconductors, seem to have been watching the development that the IT sector has been on in the context that has been provided thus far. The businesses are currently collaborating to invent and invest in the next generation of 5 G-capable gadgets.

5G ecosystem plus Industry 4.0

But why are these two major companies currently cooperating? The way we are developing so-called Industry 4.0 applications, or those that follow the third industrial revolution with its “basic” IT-enablement and usher us into the fourth revolutionary cycle where we also get to apply AI, must account for a significant portion of the justification.

But what is AI as in chatbots? This is about the use of AI to provide smarter processing skills at the edge, not in the first instance (although we might engage with IoT machines that use chat robot chat interfaces at some level later on). It involves determining which data to prioritize, how to sequence processing, how much weight to give distinct data flows, and which device data is likely to be inaccurate, duplicated, or otherwise have a lower priority than mission-critical information.

NTT and Qualcomm for Industry

“This partnership is quite exciting because it allows us to meet a demand from our clients. Shahid Ahmed, EVP for the new ventures & innovation team at NTT, stated that along with Qualcomm, “we will improve the 5G ecosystem by supplying the devices our customers need in a straightforward and cost-effective manner, empowering them as they continue along their digital transformation journey. We will further boost the need for private 5G across all global industries by collaborating with Qualcomm.

With the help of this co-innovation, devices that are 5G ready and capable of integrating technologies at the edge into many sectors, including manufacturing, transportation, and smart cities, will be made available. However, we can now see that these gadgets are relevant to everything from healthcare to oil & gas to agriculture and other sectors. NTT and stopped at mentioning “just” those three zones or industries.

Device-as-a-Service

NTT is also highlighting its Device-as-a-Service offering in conjunction with the news of its expanded partnership with Qualcomm. Device-as-a-Service is a software services product created to assist enterprises in using ‘devices’ that they may not physically own but can access and access information from in the OpEx-not-CapEx services style format that we associate with cloud computing. The business is now delivering Device-as-a-Service to make it simple for clients to access, upgrade, and recycle 5G and edge equipment, as well as to streamline device lifecycle management. This is a part of NTT’s hyphen-enriched end-to-end Edge-as-a-Service offering.

A pioneer in the private 5G market, NTT claims it is establishing an ecosystem with partners like Celona, Cisco, Microsoft, and VMware. According to Cisco, a private 5G network as a service offers an alternative to purchasing, constructing, and administering a private mobile network.

Customers can now sign up for Edge-as-a-Service, which in this case will include capabilities spanning private 5G, edge, and IoT. It is hoped that this will enable organizations to adopt what is being referred to as Sustainability-as-a-Service practices, i.e., becoming more eco-adept due to the use of services-based cloud for all manner of software-based (and now also hardware-based) requirements.

By 2026, the market for enterprise adoption of private 5G is expected to reach billion, according to analyst firm IDC. Businesses require more connection and devices as they digitize at a faster rate. In order to fulfill the demand for 5G-enabled devices that support use cases including push-to-talk devices, augmented reality headsets, computer vision cameras and sensors at the edge across the manufacturing, automotive, logistics, and other industries, NTT and Qualcomm said they will combine their respective expertise.

“A more digital and sustainable future will be shaped by the spread of 5G-enabled devices. It serves as the foundation for numerous technological developments that can boost productivity and sustainability through effective resource management and energy conservation, which are essential for innovation across many industries, according to Mark Bidinger, president of Schneider Electric’s commercial and industrial segments and channels.

AI must become hybrid

According to NTT’s Ahmed, AI processing needs to take place in a hybrid manner, that is, both in the cloud datacenter and at the edge of the network, on those little smart devices, in order for AI to expand and have an influence on enterprise operations and organizations’ bottom line. Qualcomm builds AI and machine learning models into its silicon to enable AI capabilities at the edge. In the past, Qualcomm has developed technologies that can scale AI technology across a variety of gadgets and uses, such as smartphones, laptops, sensors, automotive solutions, and networking.

The 5G chipsets from Qualcomm Technologies are ready for the mass deployment of edge AI applications, and together with NTT, we’ll foster inventive transformation throughout the 5G device ecosystem. Qualcomm Technologies, Inc.’s Atul Suri, resident ice resident, strategy & analysis.

Together, Qualcomm and NTT will now produce 5G-ready devices with built-in AI models that will improve AI at the edge through a variety of applications. Industry 4.0 involves business executives searching for technical advancements that will allow them to focus on circular models rather than traditional business notions, reconfiguring their offers to satisfy customer demand for years to come.

Data security, management, and visibility

Data visibility, control, and security are the three main aspects that this entire discussion largely boils down to. According to NTT and Qualcomm, providing a substantial overlay of 5G connectivity throughout all production sites worldwide would be given top priority.

The businesses claim that improved data control is part of their effort to attain operational excellence. As soon as it is operational, NTT’s private 5G network would offer connectivity to user sites all throughout an organization’s global footprint.

It is challenging to make long-term (or even medium-term) projections on where we will be in this space in five years because the emergence and current development of technologies in this area are (arguably) so new, so subject to rapid change and reinvention, and so utterly still in their infancy in every respect.

Regardless of the fact that some of these advantages are so abstracted in ‘cool app functionalities’ that we never completely comprehend what is happening underneath, it is safe to conclude that we will all be adjusting to an expanding number of ever-smarter devices and the services they provide to us.

[maintectechnology]

Mainframe Training | Mainframe Online Training | Maintec

Mainframe training is a crucial step for individuals aspiring to work in the field of mainframe computing, which remains a fundamental technology in various industries such as finance, healthcare, and government. Mainframes are known for their robustness, reliability, and ability to handle massive data processing tasks. Therefore, obtaining the right training is essential to develop the skills needed to operate and maintain these complex systems.

During mainframe online training, participants typically gain expertise in various areas, including operating systems (such as IBM z/OS), database management systems (DB2, IMS), programming languages (COBOL, Assembler), and system administration. Additionally, they learn about the unique characteristics of mainframe environments, including security protocols, batch processing, and transaction management. The training may also cover best practices for performance optimization and troubleshooting to ensure that mainframe systems run efficiently. Overall, mainframe training equips individuals with the knowledge and skills to become valuable assets in organizations that rely on mainframe technology, offering them rewarding career opportunities in a niche but critical field.

[rohitpalan]

Future of CRM Application Software: Emerging Trends

According to the assessment of Future Market Insights, the global CRM application software market is forecasted to reach a figure of about US$ 62,200 Mn in 2022 and is poised to exhibit a robust CAGR in the period of assessment.

Customer relationship management application software includes applications for sales automation, automation of marketing and customer service and support management like email automation. There are different types of customer relationship management applications available through cloud delivery like social media management, activity and participant management and customer experience management. CRM application software are being increasingly used by the enterprises to increase their sales by retaining their customers and netting new customers.

Ready to achieve your dreams? Get started by claiming your sample report and conquering the wired interface market  @ https://www.futuremarketinsights.com/reports/sample/rep-gb-5029

Customer relationship management application software are also used to increase the efficiency of the sales processes and to minimize the costs of sales. It also helps in servicing the customer in a faster and a more efficient manner, giving personalized attention to the most valued customers. In addition, a customer relationship management application software helps enterprises to make swift tactical decisions pertaining to established and emerging market trends.

4 Forecast Highlights on Global CRM Application Software Market

As per the forecast of Future Market Insights, the on-premise segment is slated to touch a value of nearly US$ 27,450 Mn in the year 2022. This represents a robust CAGR during the assessment period of 2017-2022. The on-premise segment is estimated to account for more than half of the revenue share of the deployment segment by the year 2017 and is forecasted to lose market share by 2022 over 2017.

As per the forecast of Future Market Insights, the retail segment will reach a value of nearly US$ 6,840 Mn in the year 2017. This represents a robust CAGR growth during the forecast period. The retail segment is forecasted to account for more than one-fifth of the total revenue share of the vertical segment by the end of the year 2017 and is expected to gain in market share by 2022 as compared with the year 2017.

As per the forecast of Future Market Insights, the marketing automation segment is slated to reach a value of about US$ 14,100 Mn in 2022. The marketing automation segment is expected to lose market share by the end of the year 2022. The largest share is contributed by the North America region in the marketing automation segment.

Future Market Insights forecasts the mainframe segment to exhibit a compound annual growth rate (CAGR) of nearly 10.0% from 2017 to 2022.

Competitive Landscape

The report has also included the profiles of some of the leading companies in the CRM application software market like IBM Corporation, Oracle Corp, Sas Institute Inc., Salesforce.com, Inc., Adobe Systems, Inc., Amdocs Ltd., Microsoft Corp., Genesys Telecommunications Laboratories Inc., SAP SE and Nice Systems Inc.

For any Queries Related with the Report, Ask an Analyst @ https://www.futuremarketinsights.com/ask-the-analyst/rep-gb-5029

Market Taxonomy

Deployment :

Cloud

On-Premise

Vertical :

BFSI

Retail

IT & Telecommunication

Healthcare

Discrete Manufacturing

Government

Education

Others

Application :

Marketing Automation

Sales Automation

Customer Service & Support

Contact Centre

Operating Environment :

Mainframe

Unix

Linux

Windows 32 and 64

Other Operating Environment

Region :

North America

Latin America

Europe

Japan

Asia Pacific excluding Japan

Middle East and Africa

[maintec]

Mainframe-as-a-Service – The Keystone for Bridging Traditional Computing and Modern Solutions

The integration of traditional computing systems with modern IT solutions is not merely a strategic advantage but a necessity in the evolving digital age. Mainframe-as-a-Service (MFaaS) emerges as a critical solution, enabling businesses to preserve the robust capabilities of legacy mainframe systems while capitalizing on the flexibility and scalability of cloud solutions. This integration is particularly crucial for industries rooted in high-volume transactions and sensitive data management, such as finance, healthcare, and government sectors.

Understanding the Need for Mainframe Modernization

Traditionally, Mainframes are celebrated for their high reliability, superior processing power, and robust security features. These systems are vital in managing enormous volume of transactions critical to daily business operations. However, as the digital landscape continuously evolves, the traditional mainframe setup faces challenges such as high maintenance costs, scarcity of skilled professionals, and difficulties in integrating with new-age technologies. Mainframe modernization thus focuses not on replacing, but on thoroughly reinventing these systems. MFaaS offers a pathway to revitalizing these legacy systems by integrating them with cloud capabilities. This collaboration not only addresses the fundamental limitations of traditional mainframes but also aligns them with modern business needs, driving more significant innovation and agility within enterprises.

How MFaaS Facilitates Integration of Traditional and Modern IT Solutions

Scalability and Flexibility: Traditional mainframes are often seen as inflexible, especially when it comes to scaling operations. MFaaS introduces a scalable model where resources are available on-demand, allowing businesses to manage workloads efficiently without the need for extensive physical infrastructure upgrades.

Cost Management: Transitioning to MFaaS converts large fixed costs into variable costs that are easier to manage. This model provides a pay-as-you-go approach, which is particularly advantageous for businesses looking to optimize expenses while still benefiting from the robustness of mainframe capabilities.

Enhanced Integration Capabilities: One of the significant hurdles with traditional mainframes is their integration with modern applications and data platforms. MFaaS providers typically offer tools and services that facilitate seamless integration with cloud services, APIs, and modern databases, bridging the gap between old and new technology environments.

Security and Compliance: MFaaS doesn’t compromise on the legendary security of mainframes. Instead, it enhances it by leveraging the advanced security protocols of cloud services. Additionally, compliance becomes more manageable as service providers ensure that the systems are up-to-date with the latest regulatory requirements.

Why Should Businesses Invest in MFaaS?

Meeting Modern IT Demands: As businesses face increasing pressure to modernize their IT infrastructures, MFaaS provides a less disruptive and more efficient pathway compared to complete system overhauls. This approach allows organizations to continue leveraging their existing mainframe investments while adopting new technologies that drive business growth.

Business Agility: In today's competitive market, agility is key. MFaaS enables organizations to quickly adapt to market changes or operational demands without the lead times typically associated with traditional mainframe reconfiguration or scaling.

Innovation Through Integration: By facilitating easier integration with emerging technologies like AI, machine learning, and big data analytics, MFaaS opens new avenues for innovation. This capability allows enterprises to unlock valuable insights from their existing data while improving operational efficiency.

Conclusion: Investing in the Future of Integrated IT Solutions

The integration of traditional mainframe systems with modern cloud solutions via MFaaS is not just a temporary trend but a forward-looking investment into the future of business technology. This approach provides enterprises with a strategic advantage by enhancing the strengths of mainframes with the flexibility and scalability of the cloud.

Investing in MFaaS means committing to a technology strategy that balances legacy optimization with modernization. It offers a pragmatic path forward that maximizes return on existing investments while positioning the business for future growth and innovation. By choosing MFaaS, companies are not just maintaining their competitive edge; they are sharpening it, ensuring that they are well-equipped to navigate the complexities of the modern digital economy.

[roamnook]

Google Cloud enables digital transformations with cutting-edge solutions in industries like Retail, Finance, and Healthcare. Harness AI, multicloud capabilities, and global infrastructure to tackle your toughest challenges. Explore now.

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Bringing New, Polarizing, and Informative Facts to the Table

Google Cloud

Google Cloud is a leading provider of cloud computing services that can help businesses solve their toughest challenges. With a focus on digital transformation, Google Cloud offers a wide range of solutions to accelerate business growth and drive innovation.

Key Benefits of Google Cloud:

Why Google Cloud - Top reasons businesses choose Google Cloud

AI and ML - Enterprise-ready AI capabilities

Multicloud - Run your applications wherever you need them

Global infrastructure - Build on the same infrastructure as Google

Data Cloud - Make smarter decisions with unified data

Open cloud - Scale with open, flexible technology

Security - Protect your users, data, and apps

Productivity and collaboration - Connect your teams with AI-powered apps

Reports and Insights:

Executive insights - Curated C-suite perspectives

Analyst reports - What industry analysts say about Google Cloud

Whitepapers - Browse and download popular whitepapers

Customer stories - Explore case studies and videos

Solutions

Google Cloud offers industry-specific solutions to reduce costs, increase operational agility, and capture new market opportunities. Whether you're in the retail, consumer packaged goods, financial services, healthcare and life sciences, media and entertainment, telecommunications, gaming, manufacturing, supply chain and logistics, government, or education industry, Google Cloud has tailored solutions for your digital transformation needs.

Not seeing what you're looking for?

See all industry solutions

Application Modernization:

CAMP Program - Improve your software delivery capabilities

Modernize Traditional Applications - Analyze and migrate traditional workloads to the cloud

Migrate from PaaS: Cloud Foundry, Openshift - Tools for moving existing containers to Google's managed container services

Migrate from Mainframe - Tools and guidance for migrating mainframe apps to the cloud

Modernize Software Delivery - Best practices for software supply chain and CI/CD

DevOps Best Practices - Processes and resources for implementing DevOps

SRE Principles - Tools and resources for adopting Site Reliability Engineering

Day 2 Operations for GKE - Tools and guidance for effective GKE management and monitoring

FinOps and Optimization of GKE - Best practices for running cost-effective applications on GKE

Run Applications at the Edge - Guidance for localized and low-latency apps on Google's edge solution

Architect for Multicloud - Manage workloads across multiple clouds with a consistent platform

Go Serverless - Fully managed environment for developing, deploying, and scaling apps

Artificial Intelligence:

Contact Center AI - AI model for speaking with customers and assisting human agents

Document AI - Automated document processing and data capture

Product Discovery - Google-quality search and product recommendations for retailers

APIs and Applications:

New Business Channels Using APIs - Attract and empower an ecosystem of developers and partners

Unlocking Legacy Applications Using APIs - Cloud services for extending and modernizing legacy apps

Open Banking APIx - Simplify and accelerate secure delivery of open banking compliant APIs

Databases:

Database Migration - Guides and tools to simplify your database migration life cycle

Database Modernization - Upgrades to modernize your operational database infrastructure

Databases for Games - Build global, live games with Google Cloud databases

Google Cloud Databases - Database services to migrate, manage, and modernize data

Migrate Oracle workloads to Google Cloud - Rehost, replatform, rewrite your Oracle workloads

Open Source Databases - Fully managed open source databases with enterprise-grade support

SQL Server on Google Cloud - Options for running SQL Server virtual machines on Google Cloud

Data Cloud:

Databases Solutions - Migrate and manage enterprise data with fully managed data services

Smart Analytics Solutions - Generate instant insights from data at any scale

AI Solutions - Add intelligence and efficiency to your business with AI and machine learning

Data Cloud for ISVs - Innovate, optimize, and amplify your SaaS applications using Google's data and machine learning solutions

Data Cloud Alliance - Ensure global businesses have seamless access and insights into the data required for digital transformation

Digital Transformation

Google Cloud helps businesses accelerate their recovery and ensure a better future through solutions that enable hybrid and multi-cloud environments, generate intelligent insights, and keep workers connected. Whether you want to reimagine your operations, optimize costs, or adapt to the challenges presented by COVID-19, Google Cloud has solutions for you.

Areas of Focus:

Digital Innovation - Reimagine your operations and unlock new opportunities

Operational Efficiency - Prioritize investments and optimize costs

COVID-19 Solutions - Get work done more safely and securely

COVID-19 Solutions for the Healthcare Industry - How Google is helping healthcare meet extraordinary challenges

Infrastructure Modernization - Migrate quickly with solutions for SAP, VMware, Windows, Oracle, and other workloads

Application Migration - Discovery and analysis tools for moving to the cloud

SAP on Google Cloud - Certifications for running SAP applications and SAP HANA

High Performance Computing - Compute, storage, and networking options to support any workload

Windows on Google Cloud - Tools and partners for running Windows workloads

Data Center Migration - Solutions for migrating VMs, apps, databases, and more

Active Assist - Automatic cloud resource optimization and increased security

Virtual Desktops - Remote work solutions for desktops and applications (VDI & DaaS)

Rapid Migration Program (RaMP) - End-to-end migration program to simplify your path to the cloud

Backup and Disaster Recovery - Ensure business continuity needs are met

Red Hat on Google Cloud - Enterprise-grade platform for traditional on-prem and custom applications

Productivity and Collaboration

Google Workspace offers a suite of collaboration and productivity tools designed for enterprises. Whether you need collaboration tools, secure video meetings, cloud identity management, browser and device management, or enterprise search solutions, Google Workspace has you covered.

Productivity and Collaboration Solutions:

Google Workspace - Collaboration and productivity tools for enterprises

Google Workspace Essentials - Secure video meetings and modern collaboration for teams

Cloud Identity - Unified platform for IT admins to manage user devices and apps

Chrome Enterprise - ChromeOS, Chrome Browser, and Chrome devices built for business

Cloud Search - Enterprise search for quickly finding company information

Security

Google Cloud provides advanced security solutions to detect, investigate, and respond to online threats. With security analytics and operations, web app and API protection, risk and compliance automation, software supply chain security, and more, Google Cloud helps protect your business from cyber threats.

Security Solutions:

Security Analytics and Operations - Solution for analyzing petabytes of security telemetry

Web App and API Protection - Threat and fraud protection for web applications and APIs

Security and Resilience Framework - Solutions for each phase of the security and resilience life cycle

Risk and compliance as code (RCaC) - Solution to modernize your governance, risk, and compliance function with automation

Software Supply Chain Security - Solution for improving end-to-end software supply chain security

Security Foundation - Recommended products to help achieve a strong security posture

Smart Analytics

Google Cloud's smart analytics solutions enable organizations to generate instant insights from data at any scale. With data warehousing, data lake modernization, Spark integration, stream analytics, business intelligence, data science, marketing analytics, geospatial analytics, and access to various datasets, Google Cloud provides the foundation for data-driven decision making.

Smart Analytics Solutions:

[kenresearch2023]

AR the future of metaverse: Global Market to reach USD 700 Mn by 2028?: Ken Research

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Story Outline

Whether it is healthcare, retail, social media or the workplace, the metaverse has the potential to change lives. With the increase in popularity of virtual reality, augmented reality and mixed reality, the metaverse is gaining momentum, enabling users to go about a normal conversation as an avatar in a ‘different world’.

But according to a report by the World Economic Forum, the true benefits of the metaverse do not come from the creation of new digital worlds. They come through the integration of physical and digital worlds.

1. Meeting the Metaverse Challenge: AR Emerges as a Key Enabler for the Future.

To learn more about this report Download a Free Sample Report

The move to the metaverse will require enormously sophisticated future technologies. According to Intel, to power the metaverse for hundreds of millions of users simultaneously, the world’s current computing, storage and networking infrastructure is ‘simply not enough’. A key to the success of the metaverse includes integrating the physical and the digital, with AR representing a better fit ‘for the real world’.

“Platforms for the metaverse typically either use AR or VR,” she writes. “VR has come to life over the past decade through gaming, esports, and entertainment, with fully virtual avatars and environments. On the other hand, AR is a better fit for work in the real world. While there’s room for both in the growing metaverse market, AR ultimately has the greatest potential. With AR, you can still interact with the objects, tools, environments, and people around you – making adoption easier, providing greater value to existing activities and speeding the path to ROI. Plus, this paradigm feels more natural and intuitive, since human evolution has equipped us to interact this way.

2. Building an open, interoperable metaverse ecosystem for the world

Visit this Link: – Request For Custom Report

Last year Microsoft, Epic Games, Meta, and 33 other companies and organisations announced the formation of a standards group for metaverse technology. “Building a metaverse for everyone will require an industry-wide focus on common standards,” said Vishal Shah, Vice President of Metaverse at Meta. “The Metaverse Standards Forum can drive the collaboration that’s needed to make this possible, and Meta is committed to this work. Creators, developers and companies will all benefit from the technologies and experiences that will be made possible by common protocols.”

The Khronos Group hosts the Metaverse Standards Forum, inviting any company, standards organization, or university to participate without any fees through a Participant Agreement. Emphasizing the significance of open standards, Johnson highlighted how they facilitate collaboration among developers, hardware manufacturers, MDMs, and partners, accelerating adoption, fostering innovation, and allowing users to determine the most suitable solutions. While closed ecosystems may have specific applications or business models, they are better suited as distinct "islands" within the broader metaverse ecosystem.

Companies have already begun to adopt the metaverse, with Microsoft and Samsung owning 158 and 122 patents on the metaverse respectively. As Johnson describes, enterprises are primed to pioneer advances in the metaverse, just as they did for mainframe computing. Enterprises are leading the way because they understand the case for productivity, competitive advantage and value to their customers.

[kritikapatil]

Mainframe Modernization Services Market Is Likely to Experience a Tremendous Growth in Near Future

Latest edition released by AMA on Global Mainframe Modernization Services Market to regulate the balance of demand and supply. This intelligence report on Mainframe Modernization Services includes Investigation of past progress, ongoing market scenarios, and future prospects. Data True to market on the products, strategies and market share of leading companies of this particular market are mentioned. It’s a 360-degree overview of the global market’s competitive landscape. The report further predicts the size and valuation of the global market during the forecast period. Some of the key players profiled in the study are

Fujitsu Limited (Japan)

Google (United States)

Wipro Digital (India)

IBM Corporation (United States)

Microsoft  (United States)

Software AG (Germany)

Infosys Limited (India)

Astadia, Inc. (United States)

Atos Syntel (United States)

Accenture plc (Ireland)

Amazon Web Services, Inc (United States)

HCL Technologies Limited (India)

GFT Technologies SE (Germany) Mainframe modernization services allow the improvement in process of enterprises or business organizations' existing mainframe footprint. Its mainframe footprints technically include code, interface, performance, maintainability, and cost. The services upgrades and adapts current or legacy mainframes systems. It is used in various industries like  IT communications, education, BFSI, retail, healthcare, etc. The mainframe modernization services encompass the complete migration of code and functionality to a platform based on newer technology. Market Trends: Integration of Different Technologies like Artificial Intelligence and IoT in Mainframe Modernization Services

Opportunities: Surging Demand for Mainframe Modernization Services  for IT Infrastructure in Developing Region

Market Drivers: Need for Management in Process of Business Operations in Different Industries

Demand for the Modernised Investments in the Legacy Applications

Challenges: Financial Risk, People Risk Associated with the Mainframe Modernization Services Presented By

AMA Research & Media LLP

[pegasolutions]

Why Pega Robotics is the Future of Automation

Automation has been a game-changer for many industries in recent years, improving efficiency, reducing costs, and increasing productivity. Pega Robotics is one of the latest technologies that has the potential to revolutionize automation. In this article, we will explore what Pega Robotics is, how it is different from other automation tools, its advantages, and applications. We will also discuss the challenges in implementing Pega Robotics and its future prospects.

What is Pega Robotics?

Pega Robotics is a software that uses artificial intelligence (AI) and machine learning (ML) to automate repetitive tasks. It can perform tasks such as data entry, document processing, and application integration, among others. The software is designed to work with various applications and systems, including web, desktop, and mainframe applications.

Pega Robotics uses a visual interface that allows developers to create automation workflows without writing code. The software uses a drag-and-drop interface that allows developers to create automation workflows quickly and easily.

How Pega Robotics is Different from Other Automation Tools

Pega Robotics is different from other automation tools because of its ability to automate tasks across multiple applications and systems. Unlike other automation tools that only work with a specific system or application, Pega Robotics can integrate with various applications and systems, making it more versatile and flexible.

Another difference is that Pega Robotics is user-friendly and does not require programming skills to use. It uses a visual interface that allows users to create automation workflows quickly and easily.

Advantages of Using Pega Robotics

a. Improved Accuracy and Speed

One of the main advantages of using Pega Robotics is that it improves accuracy and speed. The software can perform tasks faster and with more accuracy than humans, reducing the likelihood of errors and improving the quality of work.

b. Enhanced Customer Experience

Pega Robotics can enhance the customer experience by automating repetitive tasks, such as data entry and document processing. This frees up employees to focus on more complex tasks, such as customer service and problem-solving, leading to a better customer experience.

c. Increased Efficiency and Productivity

Pega Robotics can increase efficiency and productivity by automating repetitive tasks, allowing employees to focus on more complex tasks. This can lead to cost savings, increased productivity, and improved performance.

Applications of Pega Robotics

a. Customer Service

Pega Robotics can be used in customer service to automate repetitive tasks, such as data entry and document processing. This frees up employees to focus on more complex tasks, such as problem-solving and customer satisfaction.

b. Back-office Operations

Pega Robotics can also be used in back-office operations, such as accounting and finance, to automate tasks such as data entry and report generation. This can lead to cost savings, increased efficiency, and improved accuracy.

c. Healthcare

Pega Robotics can be used in healthcare to automate tasks such as patient registration and insurance verification, freeing up healthcare professionals to focus on patient care.

Challenges in Implementing Pega Robotics One of the main challenges in implementing Pega Robotics is the need for skilled developers. Pega Robotics requires developers with specific skills and knowledge, making it difficult for some organizations to implement.

Future of Pega Robotics

The future of Pega Robotics looks bright, with the technology poised to become a key player in the automation industry. The technology is constantly evolving, and new features and capabilities are being added regularly. One of the key areas of development is in the use of artificial intelligence and machine learning to improve the software's ability to learn and adapt to new tasks.

Another area of development is in the integration with other technologies such as blockchain, which could help to further enhance the security and efficiency of the software.

As more organizations adopt Pega Robotics, we can expect to see an increase in demand for skilled developers and an expansion in the range of applications that the software can be used for.

Conclusion Pega Robotics is a powerful automation tool that has the potential to revolutionize the way businesses operate. Its ability to automate tasks across multiple applications and systems, improve accuracy and speed, and enhance the customer experience make it an attractive option for businesses looking to streamline their operations.

While there are challenges in implementing Pega Robotics, such as the need for skilled developers and proper infrastructure, the future looks bright for this technology. As it continues to evolve and integrate with other technologies, we can expect to see even more applications and benefits for businesses.