#cloud developer tools

[telecomnews]

JioCloud Developer Tools for your Business

In today's digital age, businesses are relying more and more on cloud-based solutions to store, manage, and process their data. With the rise of remote work and digital collaboration, it has become increasingly important for businesses to have access to reliable and efficient cloud-based tools.

JioCloud Developer Tools is a powerful cloud-based solution that provides businesses with a wide range of tools and services to help them manage their data and applications more effectively. Whether you are a small business or a large enterprise, JioCloud Developer Tools can help you streamline your operations, improve productivity, and reduce costs.

In this article, we will explore the features and benefits of JioCloud Developer Tools and discuss how they can help your business succeed in today's competitive marketplace.

What is JioCloud Developer Tools?

JioCloud Developer Tools is a comprehensive suite of cloud-based tools and services designed to help businesses manage their data and applications more efficiently. It provides businesses with a wide range of services, including storage, database management, application development, and deployment tools.

JioCloud Developer Tools is built on top of the Microsoft Azure cloud platform, which is one of the most popular cloud platforms in the world. It provides businesses with a scalable and secure cloud infrastructure that can handle even the most demanding workloads.

With JioCloud Developer Tools, businesses can store and manage their data in the cloud, build and deploy applications quickly and efficiently, and collaborate with their teams in real-time.

Key Features of JioCloud Developer Tools

Storage Services: JioCloud Developer Tools provides businesses with a range of storage services, including Blob storage, File storage, and Disk storage. These services enable businesses to store and manage their data in the cloud, making it easily accessible and shareable across their organization.

Database Management: JioCloud Developer Tools provides businesses with a range of database management tools, including Azure Cosmos DB and Azure SQL Database. These tools enable businesses to manage their databases in the cloud, providing scalability and reliability.

Application Development: JioCloud Developer Tools provides businesses with a range of application development tools, including Visual Studio Code, Visual Studio, and GitHub. These tools enable businesses to build and deploy applications quickly and efficiently, using a wide range of programming languages and frameworks.

Deployment Services: JioCloud Developer Tools provides businesses with a range of deployment services, including Azure DevOps and Azure Kubernetes Service (AKS). These services enable businesses to deploy their applications quickly and efficiently, ensuring that they are always up-to-date and accessible to their teams.

Benefits of JioCloud Developer Tools for Businesses

Scalability: JioCloud Developer Tools provides businesses with a scalable cloud infrastructure that can handle even the most demanding workloads. With its elastic scaling capabilities, businesses can easily scale their operations up or down based on demand, ensuring that they always have the resources they need to succeed.

Reliability: JioCloud Developer Tools is built on top of the Microsoft Azure cloud platform, which provides businesses with a reliable and secure cloud infrastructure. With its redundant data centers and automatic failover capabilities, businesses can ensure that their data and applications are always available, even in the event of a disaster.

Cost-Effective: JioCloud Developer Tools provides businesses with a cost-effective way to manage their data and applications in the cloud. With its pay-as-you-go pricing model, businesses only pay for the resources they use, enabling them to reduce their infrastructure costs and optimize their resources.

Improved Productivity: JioCloud Developer Tools provides businesses with a range of tools and services that can help improve productivity and collaboration. With its real-time collaboration capabilities and integration with popular productivity tools like Visual Studio Code and GitHub, businesses can ensure that their teams are always working together effectively.

Enhanced Security: JioCloud Developer Tools provides businesses with a range of security features to protect their data and applications in the cloud. With its advanced security capabilities, businesses can ensure that their data is always secure and protected from unauthorized access.

JioCloud Developer Tools offers several security features, including:

Identity and Access Management: JioCloud Developer Tools enables businesses to manage user identities and access to their applications and data in the cloud. With Azure Active Directory, businesses can set up user accounts and access controls, ensuring that only authorized users have access to their resources.

Data Encryption: JioCloud Developer Tools offers data encryption capabilities to protect businesses' data while it is in transit and at rest. With Azure Storage Service Encryption, businesses can encrypt their data at the storage level, ensuring that it is always secure.

Network Security: JioCloud Developer Tools provides businesses with network security capabilities to protect their applications and data from external threats. With Azure Firewall and Azure Virtual Network, businesses can create secure network environments and control access to their resources.

Compliance: JioCloud Developer Tools enables businesses to comply with various regulatory requirements and standards, including GDPR, HIPAA, and ISO. With Azure Compliance Manager, businesses can assess their compliance posture and track their progress toward meeting compliance requirements.

Conclusion:

JioCloud Developer Tools is a powerful cloud-based solution that provides businesses with a wide range of tools and services to help them manage their data and applications more effectively. With its scalable infrastructure, advanced security capabilities, and cost-effective pricing model, JioCloud Developer Tools is an excellent option for businesses of all sizes and industries.

Whether you are looking to store and manage your data in the cloud, build and deploy applications quickly and efficiently, or collaborate with your teams in real-time, JioCloud Developer Tools can help you achieve your goals. So if you are looking for a reliable and efficient cloud-based solution for your business, consider JioCloud Developer Tools and take your business to the next level.

[aiinsight47]

Build AI Tools for Money: Simple Developers Guide

Learn how developers can create and sell AI tools or APIs for profit. Discover steps to identify problems, build solutions, monetize effectively, and grow your AI business.

The world of artificial intelligence (AI) is booming, and developers are uniquely positioned to take advantage of this trend. Creating and selling AI tools or APIs is one of the most lucrative ways to turn your coding skills into a business. Whether you’re solving a niche problem or building tools for broader use, there are endless opportunities in this space. Table of Contents What Are AI Tools…

[jcmarchi]

Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

New Post has been published on https://thedigitalinsider.com/daniel-cane-co-ceo-and-co-founder-of-modmed-interview-series/

Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Daniel Cane is co-CEO and cofounder of South Florida-based ModMed®, a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes.

Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment. Known for its progressive growth as a medical technology company, ModMed is frequently recognized both nationally and regionally for its achievements under Daniel’s leadership. In 2020, the company was named one of the Best Workplaces in the Country by Inc. magazine. Between 2016 and 2018, the company was named one of the fastest-growing companies in North America on the Deloitte Technology Fast 500™ list. Starting in 2015, the company has been named annually to the exclusive Inc. 5000 list, a prestigious compilation of the fastest-growing private companies in the country.

Can you share some insights into your background and how it has influenced your work at ModMed?

My journey into tech began during my undergraduate years at Cornell when I co-founded Blackboard. We transformed education by digitizing class notes and creating a platform that gave students and faculty unprecedented flexibility and interaction. For me, Blackboard’s success culminated in 2004 with its IPO, and while our solutions were game-changing in edTech, I couldn’t help but keep an eye out for new challenges.

One such challenge presented itself when I went for a routine checkup with my dermatologist. We had an incredible talk about the struggles of using outdated paper-based systems and ways to fix them. Realizing the bridge between his medical expertise and my technical know-how, we decided to team up and create ModMed along with our first electronic health record (EHR) platform.

At the time, some EHRs already existed, but unfortunately, studies often cited them as one of the leading causes of physician burnout. We took a different approach and designed our EHR to adapt the user experience to the specific workflows of a medical specialty. Our flagship cloud-based EHR, EMA, is and continues to be designed by doctors, for doctors, which has set us apart and defines our secret sauce in the market. Over the years, we’ve expanded our product offerings to include a full suite of solutions that help medical providers simplify and streamline their practice operations and expedite the delivery of care.

How do you see the battle for effective AI in healthcare being won or lost with data?

We’re starting to see a rise in the adoption of AI technology within practices to streamline workflows and maximize efficiency. As we move into an era of using AI to do more sophisticated tasks – such as suggesting treatment or other clinical-support recommendations – it is paramount to have the right data and AI training strategy in place. AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models.

Why is data so critical for AI development in the healthcare industry?

Data is the lifeblood of AI, and poor data quality will impair an AI’s performance, leading to suboptimal outcomes. This can have dire consequences in a healthcare setting as patient lives may be at stake. But a more likely scenario is that these negative experiences could undermine both patients’ and providers’ trust in AI, slowing down progress and the positive impact this revolutionary technology can have on healthcare.

For example, in the exam room, AI-enabled ambient listening tools are designed to suggest content for clinical notes for the provider to review and approve. Ideally, this should reduce the amount of time a provider spends documenting within the EHR and allow for more quality time with the patient. However, poor data sourcing and ill-trained AI tools could have the opposite effect, leaving providers to instead spend an inordinate amount of time fixing errors and re-writing notes.

Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities. AI models can learn patterns that effectively treat one patient population preferentially compared to other populations, including legally protected groups. By monitoring the data inputs and training on robust and representative data, AI outputs can be more inclusive and accurate.

Can you elaborate on the types of data ModMed uses to train its AI models and how this data is sourced and managed?

At ModMed, we use comprehensive specialty-specific data to help train our AI models with precision. Over the last 14 years, we’ve created specialty-specific, de-identified structured data sets consistent with privacy laws and are now leveraging this in-house data to train our AI models. For example, our ambient listening tool ModMed Scribe has been trained for dermatology, our first specialty launch, on millions of structured parameters from de-identified patient records sampled from a collection of 500 million patient encounters.

How does ModMed define “ethical AI” in the context of healthcare?

The potential for AI to have biases or provide inaccurate information in the form of “hallucinations” or omissions can impact patient lives. For this reason, ethical AI in healthcare is about setting a high standard for accuracy and precision. It means developing algorithms carefully and responsibly and using high-quality and diverse data to help enable more accurate predictions for every user.

Ethical AI is also about ensuring that humans remain in the equation. An AI should not “out doctor the doctor” but instead reduce the administrative burden physicians and their staff experience so they can focus more on helping patients.

What measures are in place at ModMed to allow AI technologies to be developed and deployed ethically?

Our structured data approach—curating high-quality, representative training data sets—helps us make responsible AI a reality. Relevant and de-identified data collected from our EHR systems from a wide variety of practices provides us with a diverse set of training data that reflects different patient populations.

Additionally, our development team embraces data cleaning to facilitate collecting and utilizing high-quality data. This process allows our teams to identify, rectify, and remove inconsistencies, errors, and missing values from the data set. Through this regular maintenance, we can consistently update the AI based on performance data, especially clinical data, where patient outcomes can be impacted.

Can you discuss the importance of transparency and accountability in AI development, especially in healthcare?

Transparency makes accountability possible, which is why it’s such a crucial underpinning to any AI solution in healthcare. Physicians’ top priorities are patient care and safety, so it’s no surprise that 80% of physicians want to know the characteristics and features of the design, development, and deployment of AI tools.

Additionally, not all data is created equal. It’s important to know where and how data is stored and sourced and how regularly it is updated. We’re fortunate that since ModMed’s inception, we have been committed to a data strategy that prioritizes transparency and accuracy. We have a thorough understanding of our data’s sources and quality and are confident that our AI integrations will deliver considerable value to our clients.

How is AI being integrated into ModMed’s specialty-specific EHR systems like EMA and gGastro?

Across our portfolio, we have been utilizing machine learning for some time and strengthening our investment in advanced and generative AI to simplify the business of medicine and expedite quality care. We’re building out an entire AI-powered practice experience that starts before a patient walks in the door, extends through the exam room, all the way through to the billing department.

In the clinical setting, we are in the final stages of our AI ambient listening pilot program for EMA, which we believe will be a game-changer for its downstream functionality and suggested structured content. Our AI-powered documentation solution is designed to streamline the care process beyond just transcription or drafting a SOAP note. Utilizing vast amounts of structured data, we’re training our AI models to capture essential information from doctor-patient conversations and, working alongside our EHR, to suggest relevant content for visit notes, including ICD-10 codes, surgical codes, and prescriptions. This saves physicians precious time and allows them to spend more quality time with their patients.

What specific benefits do specialty-specific AI solutions provide to healthcare providers and patients?

No two medical specialties are alike. They vary widely with the patients they see, the conditions they treat, and the medical codes used for reimbursements. AI solutions must be tailored to accommodate these variations to be effective in any truly meaningful way.

For example, ModMed’s EHRs and AI ambient listening tools are tailored explicitly to each medical specialty, providing highly relevant and precise support to clinicians. Each specialty’s documentation process requires different components within the structured data note, including unique medical codes and terminology. This specialization allows the AI to better understand and anticipate the unique needs and workflows of varying specialty practices, which we believe will result in more efficient implementation, faster adoption, and greater overall effectiveness in improving operational efficiency.

Where do you see the most significant opportunities for AI in healthcare over the next five to ten years?

In the future, AI will undoubtedly permeate nearly every aspect of healthcare in ways we can’t imagine. Already, AI is being harnessed for administrative tasks, and in the near term, this trend will likely surge as AI’s value becomes more apparent.

I also see a future when AI is seamlessly integrated throughout doctor-patient interactions, where the ‘user interface’ or UI is virtually invisible. Instead of today’s screen-based interactions, AI could offer a blend of reality and augmented reality. This future state AI could potentially analyze health records to identify critical insights, predicting a patient’s risk for various diseases. The vast amount of data in medical records presents an opportunity for AI to anticipate future care needs and create and help manage preventive care treatment plans.

This experience could extend beyond the practice setting and become integral to a patient’s daily life. AI-powered wearables could provide personalized support, answer questions, and schedule appointments among other things. AI could also monitor vital signs remotely, detecting and alerting providers to potential health issues. Personalized treatment plans, tailored to individual patients based on data and preferences, could become the norm.

This is truly an exciting time for healthcare. The next five to ten years are ripe with opportunities to further transform the industry and improve the patient experience.

Thank you for the great interview, readers who wish to learn more should visit ModMed. 

[2ribu]

Penggunaan Cloud Computing dalam Pengembangan AI: Alat dan Platform yang Meningkatkan Efisiensi

Cloud computing telah menjadi salah satu inovasi teknologi paling signifikan dalam dekade terakhir. Dalam pengembangan kecerdasan buatan (AI), peran cloud computing sangat penting karena memungkinkan pengembang untuk memanfaatkan infrastruktur dan layanan yang fleksibel, skalabel, dan hemat biaya. Dengan semakin kompleksnya algoritma AI dan meningkatnya kebutuhan akan data besar (big data), cloud…

[practicallogix]

Exploring AWS Cloud Development Tools: Empowering Innovation and Efficiency

As businesses increasingly transition to the cloud, the demand for robust and efficient development tools continues to rise. Amazon Web Services (AWS) offers a comprehensive suite of powerful tools designed to assist developers in designing, building, deploying, and managing applications in the cloud. These tools aim to enhance productivity, foster collaboration, and streamline the development process, whether the focus is on a simple website or a complex enterprise application.

In this blog post, we will delve into some of the key AWS cloud development tools, examining their functionality and the benefits they provide to developers and organizations alike.

Key AWS Cloud Development Tools

AWS offers a diverse range of development tools that span the entire software lifecycle. These tools enable developers to write code, automate deployment processes, monitor applications, and optimize performance. Below are some of the most significant AWS cloud development tools:

1. AWS Cloud9 

AWS Cloud9 is a cloud-based Integrated Development Environment (IDE) that enables developers to write, run, and debug code directly from a browser. It supports a variety of programming languages, including JavaScript, Python, PHP, and more. As a cloud-based IDE, AWS Cloud9 offers the flexibility to code from any location, eliminating the need for local setup. 

Key benefits of AWS Cloud9 include: 

Collaboration: Developers can collaborate in real-time, sharing their environment with team members for paired programming or code reviews. 

Serverless Development: Cloud9 features built-in support for AWS Lambda, facilitating the creation and management of serverless applications. 

Preconfigured Environment: It removes the necessity to install and configure dependencies on a local machine, significantly reducing setup time. 

2. AWS CodeCommit 

AWS CodeCommit is a fully managed source control service that hosts Git repositories. Similar to GitHub or Bitbucket, CodeCommit allows teams to securely store and manage source code and other assets within private Git repositories. 

Reasons to consider AWS CodeCommit: 

Scalability: CodeCommit automatically scales with the size of your repository and the number of files. 

Integration: It integrates seamlessly with other AWS services, such as AWS CodeBuild and CodePipeline, streamlining the development workflow. 

Security: AWS CodeCommit utilizes AWS Identity and Access Management (IAM) for access control, ensuring the security of your code. 

3. AWS CodeBuild 

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages ready for deployment. It eliminates the need to manage build servers, enhancing the speed and efficiency of the build process.

Key benefits of AWS CodeBuild:

Continuous Scaling: AWS CodeBuild automatically scales to handle multiple builds simultaneously, significantly reducing wait times for larger projects.

Custom Build Environments: It allows for the customization of build environments using Docker images or provides access to pre-configured environments.

Pay-as-You-Go: Users are charged only for the build time consumed, leading to potential cost savings for teams that run builds intermittently.

4. AWS CodeDeploy

AWS CodeDeploy streamlines the deployment of applications across various services, including Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. It supports both blue/green and rolling deployments, thereby minimizing downtime and mitigating the risk of deployment errors.

Key features of AWS CodeDeploy include:

Automation: CodeDeploy automates deployment tasks, ensuring consistency across different environments and reducing the potential for human error.

Monitoring: Integration with Amazon CloudWatch and AWS X-Ray allows for effective monitoring of deployments and application performance.

Flexibility: It accommodates various deployment types, including blue/green deployments for near-zero downtime and rollback functionality in the event of a failure.

5. AWS CodePipeline

AWS CodePipeline is a continuous integration and continuous delivery (CI/CD) service that automates the steps necessary for software release. It automates the building, testing, and deployment of applications with every code change, ensuring faster and more reliable releases.

Key benefits of AWS CodePipeline:

End-to-End Automation: It automates each stage of the development lifecycle, from coding through to production deployment.

Flexibility: CodePipeline integrates seamlessly with a variety of third-party tools, including GitHub and Jenkins, allowing developers to utilize familiar tools.

Faster Releases: Automated testing and deployment pipelines enable teams to release features more rapidly, with minimal downtime or manual intervention.

6. AWS X-Ray

AWS X-Ray assists developers in analyzing and debugging distributed applications, particularly those utilizing a microservices architecture. It generates a detailed map of the components and services interacting with the application, simplifying the process of troubleshooting performance bottlenecks and errors.

Key features of AWS X-Ray:

End-to-End Tracing: AWS X-Ray traces requests across all components of the application, from the frontend to the backend, offering comprehensive visibility into the performance of each service.

Seamless Integration with AWS Services: X-Ray integrates effortlessly with AWS Lambda, Elastic Load Balancing, Amazon EC2, and a variety of other AWS services.

Root Cause Analysis: This tool assists in identifying the root causes of performance issues and errors, facilitating the optimization of the application’s architecture.

Conclusion

AWS cloud development tools empower developers to enhance efficiency, automate manual tasks, and build scalable, secure applications. Whether you are just beginning your journey in cloud development or managing extensive projects, these tools provide the flexibility and capability required to create high-quality cloud-based applications. By incorporating services such as AWS CodeCommit, CodeBuild, and CodeDeploy into your workflow, you can improve collaboration, elevate code quality, and expedite the release cycle—ultimately driving business success in a cloud-first environment.

[speridian]

Maximizing Productivity with Microsoft 365's New Cloud Solutions

In today's fast-paced business environment, companies are always on the lookout for innovative tools that can help them scale operations, enhance collaboration, and improve overall productivity. Microsoft 365 has consistently provided cutting-edge solutions, and its latest cloud-based innovations are no exception. These new features are designed to empower businesses to streamline their workflows, improve cross-team collaboration, and leverage advanced tools for seamless deployment. One key element to ensuring this smooth integration is the Microsoft Office Deployment Tool, which plays a critical role in helping businesses deploy and manage Office apps with ease.

Scaling Operations with Cloud Efficiency

The latest innovations in Microsoft 365 have introduced a robust, cloud-first infrastructure that offers businesses unparalleled scalability. This scalability is a game-changer, particularly for organizations experiencing growth or those looking to expand their operations across different locations. By leveraging Microsoft’s cloud infrastructure, businesses can seamlessly scale their services without worrying about the complexities of traditional IT expansion.

For instance, with tools like Microsoft Teams, organizations can effortlessly add new users, set up departments, and manage permissions, all from a centralized dashboard. This flexibility allows organizations to adapt quickly to changing needs without the burden of physical hardware or complex software installations. Furthermore, with data securely stored and accessible in the cloud, businesses can ensure that their employees have real-time access to the tools and information they need, regardless of their physical location.

Enhancing Cross-Team Collaboration

Effective communication and collaboration are essential for any business to thrive, especially in a globalized workforce. Microsoft 365's cloud-based innovations are at the forefront of this transformation, helping organizations foster better cross-team collaboration.

With integrated tools like SharePoint and OneDrive for Business, teams can collaborate on documents in real-time, without the limitations of email attachments or version control issues. Whether team members are in different offices, countries, or time zones, everyone can work on the same project, knowing they have access to the most up-to-date information. Microsoft Teams further amplifies this by integrating with tools like Planner, Power Automate, and even third-party apps, allowing teams to manage projects, automate workflows, and track progress—all from one central hub.

This unified approach to communication and collaboration reduces the friction often caused by siloed information and fragmented workflows, enabling businesses to increase their productivity.

Streamlined Deployment with the Microsoft Office Deployment Tool

As businesses adopt these innovative cloud-based solutions, deployment becomes a critical factor in ensuring seamless integration and use. Enter the Microsoft Office Deployment Tool (ODT), which plays an essential role in helping businesses quickly and efficiently deploy Office apps across various devices and users.

The ODT allows IT administrators to customize and manage how Microsoft Office apps are installed on user devices. From selecting specific Office apps to install to configuring update channels and managing deployment across different networks, the ODT simplifies what would otherwise be a cumbersome process. With features like language customization, installation optimization, and real-time configuration, the Microsoft Office Deployment Tool provides businesses with the flexibility and control they need to ensure a smooth transition to the latest Office apps without interrupting workflows.

The Future of Cloud-Enabled Productivity

As businesses continue to navigate the complexities of remote work and hybrid environments, Microsoft 365’s cloud solutions offer a clear path forward. By leveraging its latest innovations, businesses can scale operations efficiently, enhance cross-team collaboration, and deploy critical tools like Office apps with ease through the Microsoft Office Deployment Tool. This combination of cloud-based scalability, collaboration, and streamlined deployment positions Microsoft 365 as an essential solution for modern businesses looking to stay competitive and maximize productivity.

In a world where productivity and adaptability are paramount, Microsoft 365 stands out as a comprehensive platform that provides businesses with the tools they need to succeed in a cloud-first world.

[antstackinc]

Discover the Best Way to Build Serverless Applications with AntStack’s AWS SAM Template — Join Us!

AntStack is hosting an exciting event for developers eager to simplify and speed up their serverless projects. Learn how the AWS Serverless Application Model (SAM) template can make your development faster and more efficient, freeing you from the complexities of infrastructure management.

Event Highlights:

Expert Walkthrough: AntStack’s team will guide you through the AWS SAM template step-by-step.

Maximize Efficiency: Focus on building great applications without worrying about infrastructure.

Flexible Solutions: Whether for new or existing projects, the SAM template makes serverless development quicker and easier.

Don’t miss out — register here to elevate your serverless development with AntStack’s best-in-class AWS SAM template!

[angelajohnsonstory]

Discover the power of Azure DevOps tools like, Jenkins, and Docker in their latest podcast. Learn how these tools streamline development and operations. Plus, find out how Impressico Business Solutions can enhance your Cloud DevOps with expert services tailored to your needs.

[altdigitaltechnologies]

The Summer 2024 release brings major enhancements for Lightning Web Components (LWC), making creating powerful, interactive apps easier than ever. From URL-addressable LWCs to third-party web component integrations, developers have a lot to look forward to. Dive into the details and transform your Salesforce experience today!

Ready to upgrade your Salesforce setup? Explore our Salesforce services and contact us now for a consultation: 

#Salesforce #LWC #Summer2024 #SalesforceSummer2024Highlights #TechUpdates #WebComponents #DeveloperTools #SalesforceIntegration #LightningWebComponents #ApexDevelopment

[techavtar]

Tech Avtar is renowned for delivering custom software solutions for the healthcare industry and beyond. Our diverse range of AI Products and Software caters to clients in the USA, Canada, France, the UK, Australia, and the UAE. For a quick consultation, visit our website or call us at +91-92341-29799.

[cyber-soul-smartz]

21st Century Project Closure: Powerhouse of Efficiency

Unlock the secrets to mastering the project closure phase in our latest guide! Learn how to finalize activities, deliver success, and document lessons. Subscribe now for more insights on project management and professional development. #ProjectSuccess

[jcmarchi]

CFOs Should Embrace Gen AI’s Potential and Encourage Innovation, Not Obsess Over Its Cost or Likely Scale of Impact

New Post has been published on https://thedigitalinsider.com/cfos-should-embrace-gen-ais-potential-and-encourage-innovation-not-obsess-over-its-cost-or-likely-scale-of-impact/

CFOs Should Embrace Gen AI’s Potential and Encourage Innovation, Not Obsess Over Its Cost or Likely Scale of Impact

The breathless publicity surrounding Gen-AI often makes it difficult for CFOs to avoid the conventional approach of obsessing about the costs of Gen-AI adoption or its likely scale of impact in the near-term. However, I believe the time has come for CFOs to break with convention and become advocates for the technology within their organizations, for three reasons:

The role of the CFO is expanding beyond just financial stewardship to strategic leadership

The business case for Gen-AI adoption in Finance has improved

Not embracing Gen-AI now could lead to competitive risk, as Gen-AI could very quickly evolve from a novelty to a necessity, much like Cloud did previously

Role of the CFO

The first reason for CFOs to break with their conventional approach to Gen-AI is the inherent expansion of the CFO’s role in an enterprise. In one recent study, 85% of CFOs said they expect to play a more significant role in shaping business strategy. On average, the study found, financial leaders spend more than four hours each day on nontraditional CFO activities—tech decisions, talent management, strategic planning and more.

CEOs are looking to CFOs to not just manage the financial health of an organization, but also to drive innovation and transformation. Gen-AI will undoubtedly play a critical role in the next wave of enterprise transformation – both from a productivity and innovation perspective, and it would be beneficial for CFOs to gain experience early on with the capabilities of this technology, to play their expanded role more effectively.

Business case for Gen-AI adoption

The business case for Gen-AI adoption has improved recently. The dollar cost of pilot projects today is relatively low in relation to the benefits of testing Gen-AI’s potential. This is due to the large number of Finance use cases that Gen-AI is suited for (e.g., automated data management, contract reviews, forecasting and scenario analysis, report creation, risk & compliance management), and a proliferation of recently launched tools that address several of these use cases.

While these tools are still nascent, recent surveys show that CFOs that have adopted Gen-AI tools are already seeing significant, measurable impact. In a recent survey of 375 CFOs across multiple sectors, over three-quarters (76%) said they have “noted significant gains in efficiency and process speed,” and  68% said they have seen “accuracy and error reduction” due to the adoption of Gen-AI tools. Finally, more than a third (36%) said that “generative AI is already adding value and impacting their revenue streams,” and another 40% said that they were “expecting it to do so within a year.”

Risk of inaction

Not embracing Gen-AI now could lead to competitive risk. It’s important to remember that not all hyped technologies disappoint. Consider cloud, another technology that was hyped early on but went on to become a crucial component of enterprise computing. In 2010, enterprise concerns around cloud adoption included cost and security. By 2015, however, the technology was a business staple, “a safe bet.” The pandemic then cemented the adoption of cloud, spurring companies to exceed their adoption schedule by up to seven years. Gen-AI similarly, could very quickly evolve from a novelty to a necessity, and early adopters will enjoy a competitive advantage.

Recent surveys by Gartner highlight the increased competitive risk of inaction. In their survey on Gen-AI adoption in 2023 Gartner found that “other administrative functions such as HR, legal and procurement were twice as likely to be using or scaling AI solutions compared to the finance function.” However, in the same survey conducted in September 2024, “the gap is almost non-existent.” In this poll of 121 finance leaders across industries, Gartner found that “58% of respondents said their teams were using AI, an increase of 21 percentage points from 2023.” Further, Gartner found that “of the 42% of finance functions that aren’t currently using AI, half are planning implementation.”

Next steps

Success factors for any major tech initiative include motivation and methodology. As outlined above, the expanding role of CFOs, the improved business case for Gen-AI adoption in Finance, and the competitive risk of inaction, should serve as sufficient motivation. As for a methodology to help start the organization down a productive gen AI path while also performing their traditional role as fiscal steward, there are several steps CFOs can take now:

Encourage manageable pilot projects: By supporting a small-scale pilot, CFOs can demonstrate their grasp of generative AI’s importance—and set themselves up to help create the budget, adjudicate the project’s success, and, if appropriate, scale the initiative.

Fund useful innovation: There’s always risk that IT groups and others will treat a new technology like a shiny toy. In the case of gen AI, CFOs should ameliorate this risk by rewarding only use cases that genuinely advance the interests of the business.

Find an experienced partner: A global talent shortage is one of the top inhibitors slowing gen AI adoption. CFOs should consider partnering with a tech provider that can provide the skills needed to successfully implement the technology; at this point in the development of generative AI, this will likely prove more affordable and achievable than provisioning talent in-house.

Naturally, CFOs must be mindful of their duties to stakeholders—but where generative AI is concerned, an unconventional approach can encourage experimentation and innovation, drive growth, and serve as a bridge for the expanding role of financial leaders.

[ocpl-tech-blog]

Is your business struggling with inefficient processes? 🛠️ It's time to consider ERP software! Reduce manual data entry errors, eliminate repetitive tasks, and standardize workflows for enhanced productivity.

[techtoio]

Exploring the Latest Trends in Software Development

Introduction The software is something like an industry whose development is ever-evolving with new technologies and changing market needs as the drivers. To this end, developers must keep abreast with current trends in their fields of operation to remain competitive and relevant. Read to continue .....