#hr helpdesk bots

[christianbale121]

A Comprehensive Guide to AI Agent Development: Building Intelligent Digital Workers for 2025

As we navigate deeper into the digital age, artificial intelligence (AI) continues to evolve at breakneck speed. Among the most transformative innovations in AI is the rise of intelligent agents—autonomous digital workers capable of performing complex tasks, reasoning like humans, and continuously learning from interactions. In 2025, AI agents are no longer a futuristic concept—they’re reshaping how enterprises operate, optimize processes, and deliver value to customers.

This comprehensive guide will walk you through everything you need to know about AI agent development in 2025: what AI agents are, how they work, their real-world applications, key development frameworks, and what it takes to build scalable, secure, and intelligent digital workers.

🔍 What Are AI Agents?

AI agents are autonomous software entities designed to perceive their environment, reason through data, and take actions to achieve specific goals. These digital workers can operate independently, collaborate with humans or other agents, and adapt to changing conditions over time.

Unlike traditional rule-based bots, AI agents are powered by machine learning, natural language processing (NLP), deep learning, and increasingly, multi-modal capabilities, allowing them to make intelligent decisions, learn context, and handle dynamic workflows across various industries.

🤖 Why AI Agents Matter in 2025

The demand for intelligent automation is skyrocketing as organizations face challenges such as labor shortages, rising operational costs, and the need for 24/7 service. AI agents provide:

Scalable workforce augmentation

Consistent performance without fatigue

Real-time insights and decision-making

Human-like interaction capabilities

Personalized experiences for customers and employees

In 2025, AI agents are the backbone of digital transformation strategies, from enterprise IT and finance to healthcare, retail, and customer service.

🧠 Core Components of an AI Agent

To understand AI agent development, it’s essential to break down the core architecture:

1. Perception Module

Agents receive input from structured or unstructured sources—text, images, APIs, or sensor data.

2. Reasoning Engine

This component processes data using:

Large Language Models (LLMs)

Knowledge graphs

Symbolic reasoning

Logic-based decision trees

3. Planning & Decision-Making

AI agents define actions based on goals and environment state, often using reinforcement learning, task decomposition, or chain-of-thought prompting.

4. Memory & Learning

Short-term and long-term memory modules enable continuous learning and contextual awareness across interactions.

5. Action Module

The agent performs actions like sending emails, querying APIs, generating reports, or triggering workflows in connected systems.

🔧 How to Build an AI Agent in 2025: Step-by-Step Guide

Step 1: Define the Use Case

Start by identifying a high-impact area, such as:

Automated customer onboarding

Invoice processing

Helpdesk ticket resolution

Lead qualification

HR employee query management

Step 2: Choose Your AI Stack

Select tools and frameworks tailored to your goals:

LLMs: OpenAI’s GPT, Meta’s LLaMA, Google’s Gemini

Frameworks: LangChain, AutoGen, Haystack, Semantic Kernel

Memory Systems: Vector databases (Pinecone, Weaviate)

Agents Toolkits: CrewAI, AgentVerse, AgentGPT

Step 3: Design the Agent Workflow

Define task triggers, inputs, intermediate steps, and outputs. Incorporate human-in-the-loop checkpoints where needed.

Step 4: Integrate APIs & External Systems

Enable the agent to act using integrations with CRMs, ERPs, databases, or custom business tools via REST APIs or plugins.

Step 5: Fine-Tune & Customize

Train the agent with domain-specific data, prompts, or fine-tuned LLMs to improve accuracy and alignment with company policies.

Step 6: Test, Monitor, and Improve

Use observability tools to track the agent’s decision-making, detect failure modes, and improve iteratively.

🚀 Top Use Cases of AI Agents in 2025

1. Customer Support Agents

Handle Level-1 queries, triage support tickets, summarize conversations, and escalate critical issues automatically.

2. Sales Enablement Agents

Engage leads, schedule meetings, personalize emails, and summarize account activity for SDRs.

3. Finance Assistants

Automate expense approvals, generate financial forecasts, and monitor compliance risks.

4. IT Helpdesk Bots

Reset passwords, troubleshoot common issues, manage access permissions, and raise tickets in ServiceNow or Jira.

5. Healthcare Copilots

Assist with patient triage, appointment scheduling, and EMR summarization—all with HIPAA-compliant data handling.

🔐 Security, Ethics, and Compliance

With great power comes great responsibility. AI agent development must follow ethical AI principles:

Data Privacy: Implement strict controls, anonymization, and access governance.

Explainability: Make agent decisions traceable and interpretable.

Human Oversight: Enable intervention options in critical workflows.

Bias Mitigation: Train on diverse datasets and audit behavior regularly.

Frameworks like NIST AI Risk Management, ISO/IEC 42001, and EU AI Act guidelines are crucial in 2025 for compliance.

🌐 The Future: Multi-Agent Systems and Agentic Workflows

Looking ahead, the evolution of multi-agent systems—where multiple AI agents collaborate to complete tasks—will define next-gen digital ecosystems. These agents will be able to:

Delegate tasks to specialized sub-agents

Negotiate, reason, and learn together

Coordinate workflows across domains

This is the path toward fully autonomous business processes powered by AI.

🏁 Conclusion

AI agents are redefining the workforce in 2025. They are no longer just tools—they're digital coworkers capable of executing complex logic, adapting to dynamic environments, and delivering outcomes with human-like intelligence.

Whether you’re a startup automating customer service or an enterprise optimizing internal operations, developing AI agents will be key to gaining a competitive edge in the coming years.

Now is the time to start planning your AI agent Development strategy and build intelligent digital workers that drive growth, innovation, and efficiency.

[sofiasmartleai]

How AI Chatbots Are Revolutionizing Business Engagement and Automation

In today’s fast-paced digital economy, organizations are adopting smarter, faster ways to communicate with customers and optimize internal processes. One of the most powerful tools driving this shift is the AI chatbot, a next-generation virtual assistant designed to handle conversations with intelligence and efficiency.

As the demand for AI chatbot development services rises, businesses are increasingly deploying AI chatbots to automate customer interactions, improve service delivery, and enhance productivity. In this article, we’ll explore how AI chatbots and innovative AI chatassistance solutions are reshaping customer experience and business operations.

What is an AI Chatbot?

An AI chatbot is a virtual agent that leverages artificial intelligence, machine learning, and natural language processing (NLP) to engage with users in natural conversations. Unlike simple, rule-based bots, AI chatbots understand context, learn from previous interactions, and deliver adaptive, human-like responses.

These AI-driven tools are used across a variety of platforms, including websites, messaging apps, and voice-enabled devices, empowering businesses to deliver seamless support and automation at scale.

How AI Chatbots Are Impacting Modern Businesses

1. Transforming Customer Support

AI chatbots provide instant, 24/7 customer service by resolving common inquiries, managing troubleshooting, and directing more complex requests to live agents when needed. By leveraging AI chatbot development services, companies significantly enhance customer satisfaction while reducing service delivery costs.

2. Driving Sales Through Conversational Commerce

AI chatbots are transforming the online shopping journey. They assist users by recommending products, offering promotional deals, and guiding them through checkout processes. This real-time AI chatassistance helps reduce cart abandonment and increases conversion rates.

3. Streamlining Operational Processes

Beyond customer-facing roles, AI chatbots automate internal functions such as HR requests, IT helpdesk support, scheduling, and team onboarding. This boosts internal productivity and reduces manual intervention, allowing teams to focus on strategic tasks.

4. Creating Personalized User Journeys

AI chatbots gather and analyze customer data to offer tailored recommendations, reminders, and follow-ups. Businesses using AI chatbot development services can create more targeted, data-driven conversations that boost user engagement and loyalty.

5. Providing Omnichannel AI Chatassistance

With AI chatbots integrated across various platforms—such as websites, social media, messaging channels, and voice assistants—businesses deliver consistent AI chatassistance wherever customers choose to engage.

Industries Embracing AI Chatbot Development Services

Retail & E-commerce: AI chatbots enhance shopping experiences with product recommendations, order support, and post-sale assistance.

Healthcare: AI virtual agents manage patient inquiries, schedule appointments, and offer health-related information.

Banking & Insurance: AI chatbots automate account services, claims processing, and fraud monitoring.

Travel & Hospitality: AI assistants help customers with bookings, itinerary changes, and travel tips.

Education: AI chatbots improve student engagement by answering enrollment queries, suggesting courses, and assisting with virtual learning tools.

Why Businesses Need AI Chatbot Development Services

Professional AI chatbot development services enable businesses to create custom AI-powered assistants tailored to specific workflows and customer engagement goals.

Key benefits include:

Bespoke conversational design tailored to brand voice and customer personas.

Advanced NLP and AI technology to enhance dialogue accuracy and intent recognition.

Seamless system integration with CRM, ERP, and other enterprise platforms.

Data-driven insights to refine chatbot interactions and optimize user experiences.

Scalable and adaptable solutions to meet the growing demands of your business.

The Evolution of AI Chatassistance

Today’s AI chatbots are evolving into robust AI chatassistance platforms that can:

Handle voice-based interactions for smart devices and call center automation.

Proactively initiate conversations based on user behavior and engagement triggers.

Adapt tone and style through sentiment analysis and customer mood detection.

Integrate fully with back-office operations for complete process automation.

Conclusion

AI chatbots are transforming how businesses connect with customers and manage internal workflows. By utilizing advanced AI chatbot development services, companies are unlocking greater efficiency, improving customer engagement, and reducing costs.

With the evolution of AI chatassistance, the future of business communication will be more intelligent, proactive, and personalized—making now the perfect time for companies to invest in AI-powered conversational platforms.

FAQs

1. What do AI chatbot development services include?

AI chatbot development services cover the design, development, deployment, and ongoing optimization of AI-powered chatbots, including integrations with business platforms like CRM and ERP systems.

2. How does an AI chatbot improve customer experience?

An AI chatbot delivers instant responses, automates common queries, personalizes interactions, and ensures customers receive consistent support across digital channels.

3. What is AI chatassistance?

AI chatassistance refers to an advanced AI chatbot system that provides real-time, intelligent support across multiple channels using AI, NLP, and machine learning technologies.

4. Can AI chatbots be integrated with other tools?

Yes, AI chatbots developed through AI chatbot development services can seamlessly integrate with CRM platforms, helpdesk software, ERP systems, and other business tools.

5. Are AI chatbot solutions scalable for growing businesses?

Absolutely. AI chatbot platforms are designed to scale easily, enabling businesses to handle more customer interactions, expand across new channels, and automate more complex workflows as they grow.

[modulesap]

SAP BTP (Business Technology Platform) provides powerful tools and services that support AI, machine learning (ML), and automation, helping businesses optimize their processes, enhance decision-making, and drive innovation. Here’s how SAP BTP supports these technologies in business processes:

1. SAP AI Core and AI Foundation

SAP BTP includes AI Core and AI Foundation, which offer the building blocks for integrating and deploying AI and ML models into business processes. These tools allow businesses to:

Develop and train machine learning models using various algorithms and data sources.

Integrate pre-built AI capabilities (like sentiment analysis, image recognition, and predictive analytics) into applications.

Automate routine tasks by using AI to enhance operational efficiency, such as invoice processing or customer service automation.

With AI Foundation, businesses can access:

Pre-trained AI models and services for quick integration.

Customizable frameworks to build tailored models based on specific needs.

Continuous improvement by integrating machine learning to make predictions and improve over time.

2. SAP Business Application Studio & Low-Code/No-Code Tools

SAP BTP offers the Business Application Studio and low-code/no-code tools that empower users—both business analysts and developers—to create AI-powered applications with minimal coding expertise. This accelerates the creation of automation workflows and AI-driven processes by:

Simplifying the development process with a visual interface.

Integrating AI and ML algorithms into business applications without the need for deep technical expertise.

These tools make it easier for organizations to embed automation and AI into their processes, especially when scaling to multiple departments or business functions.

3. SAP Intelligent Robotic Process Automation (RPA)

SAP Intelligent RPA enables businesses to automate repetitive tasks that require human intervention by using robots that can interact with systems and applications. RPA combined with AI and ML capabilities makes processes more intelligent by:

AI-powered decision-making: RPA bots can make decisions based on data inputs, driving intelligent workflows.

Automating customer service: AI-powered bots handle queries and automate customer support processes, improving response times and reducing costs.

Task automation in areas such as invoicing, payroll, and supply chain management, freeing employees to focus on higher-value activities.

4. SAP Conversational AI

SAP Conversational AI is a platform that allows businesses to build and deploy chatbots and virtual assistants to automate customer service, HR processes, or IT helpdesks. These AI-powered bots leverage natural language processing (NLP) and machine learning to:

Understand and respond to customer queries, making the interaction feel natural and efficient.

Integrate with business applications to provide personalized answers, handle transactions, and streamline workflows (e.g., SAP S/4HANA or SAP SuccessFactors).

Analyze conversational data to continuously improve the chatbot’s responses, ensuring higher accuracy over time.

5. SAP Analytics Cloud and Predictive Analytics

SAP Analytics Cloud integrates advanced predictive analytics and machine learning capabilities, enabling businesses to leverage AI for data-driven decision-making. With these tools, businesses can:

Perform predictive modeling to forecast sales, customer demand, and financial performance.

Create automated reports that highlight key insights from large datasets.

Detect trends, anomalies, and patterns in business data that are otherwise difficult to spot manually.

Enhance forecasting with AI-driven predictions, enabling more accurate planning and risk management.

6. SAP Data Intelligence

SAP Data Intelligence helps organizations manage, integrate, and process data from various sources, enabling them to train and deploy machine learning models. With this service, businesses can:

Integrate diverse data sources (structured, unstructured, IoT data, etc.) to create a holistic data model.

Build, deploy, and monitor ML models that are applied across various business processes.

Automate data-driven workflows, making it easier to use AI for tasks like anomaly detection or predictive maintenance in industries like manufacturing.

7. SAP Leonardo (Integrated with SAP BTP)

SAP Leonardo is a comprehensive digital innovation system integrated with SAP BTP that combines IoT, machine learning, artificial intelligence, and big data analytics to deliver intelligent business processes. Some key ways it enhances business automation:

IoT and AI Integration: Helps businesses analyze sensor data and apply machine learning algorithms for predictive maintenance, real-time monitoring, and process optimization.

Industry-Specific Solutions: SAP Leonardo offers pre-configured solutions for industries like manufacturing, retail, and logistics, providing targeted AI and ML capabilities tailored to each sector's needs.

8. SAP HANA Database for Real-Time Processing

SAP HANA, SAP's in-memory database, plays a central role in enabling AI, ML, and automation on SAP BTP. It provides real-time data processing that:

Supports AI-driven decision-making by processing large volumes of data in real-time.

Allows machine learning algorithms to run directly within the database, improving speed and scalability.

Helps businesses analyze data and take actions immediately based on insights, increasing operational efficiency.

9. SAP S/4HANA and AI Integration

SAP S/4HANA is SAP's flagship enterprise resource planning (ERP) suite, and it’s tightly integrated with SAP BTP’s AI and automation capabilities. It benefits businesses by:

Automating workflows: AI and ML can automate procurement, inventory management, and supply chain tasks to optimize operations.

Predictive analytics: S/4HANA uses predictive analytics to forecast demand, sales, and optimize production schedules.

Intelligent finance: AI and ML enhance financial processes such as invoice processing, fraud detection, and financial planning.

10. SAP AI-Powered Insights for Sustainability

As sustainability becomes more critical, SAP BTP incorporates AI and automation tools to help businesses improve their environmental impact. With machine learning, businesses can:

Monitor and predict resource consumption.

Optimize energy usage across the enterprise with predictive models.

Automate sustainability reporting to ensure compliance and track progress.

Conclusion

By providing a comprehensive suite of AI, machine learning, and automation capabilities, SAP BTP enables businesses to transform their operations, reduce costs, improve decision-making, and enhance customer experiences. Whether it’s through predictive analytics, RPA, AI-powered chatbots, or intelligent process automation, SAP BTP offers a flexible platform to integrate and scale cutting-edge technologies throughout business processes.

Mail us on contact@anubhavtrainings.com

Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings

[ardhra2000]

Top 8 Amazing Slack Chatbots 2024

Slack is a trendy communication hub. Companies are beginning to use chatbot for Slack to automate HR assistance and IT helpdesk tasks. 

Their use is growing in other departments like finance and facilities—making a Slack chatbot more alluring because it does not require human intervention and can support users independently. 

Agents at the help desk cannot be available to address employees' problems around the clock. They are also human, after all. Like the rest of us, they require plenty of sleep.   

Employee self-service through the bot also eliminates the requirement for help desk representatives to give in-person assistance.  

By eliminating the overheads associated with recurring requests and deploying a bot in a Slack channel, you may watch your help desk costs drop precipitously right away. 

Consider adding askSpoke to your Slack channel if you're sick of repeatedly responding to the same queries. This Slack bot functions as both a ticketing desk and a chatbot. 

The bot automatically answers common questions with concise responses, while more challenging inquiries are queued up for human reactions from you.   

BirthdayBot allows users to share wishlists, which helps users choose the finest presents and enables managers to deliver birthday gift cards to staff members automatically.   

You must realize that Slack is one of the leading business-level communication technologies for facilitating dialogue between the chatbot and users you have concluded. It has been shown that 70% of users prefer to report support concerns via Slack. 

[market-research-updates]

Customer Self-Service Software Market | Latest Innovation, Advance Technology, Top Companies , Revenue Growth and Forecast to 2025

The customer self-service software market was valued at USD 7.20 billion in 2019, and it is expected to register a CAGR of 20.94% during the forecast period from 2020 to 2025. An increasing number of organizations now understand the benefits of reliable and dedicated self-service portals for enhancing the company's overall brand image. Self-service portals provide customers with instant access to information, allow personalization, and save valuable time and organizational resources. It has become so crucial that, according to SuperOffice, 70% of customers now expect a company's website to include a self-service application. The customized knowledge-based self-service portal is playing a significant role in bringing in more website traffic. According to Salesforce, 39% of millennials check a company's FAQ first when they have a question, showing a strong preference for finding answers. - Some of the significant features of customer self-service software are: it provides information to users without human interaction, assists end-users in completing familiar tasks, and provides continuous support to end-users seeking assistance. Most of the companies' helpdesk are failing to deliver required expectations, either due to short-staffed or due to lack of knowledge to answer a question immediately. Hence companies are adopting these self-services, which help users find solutions themselves often through a knowledge base or automated task management platform. - According to Oracle, web self-service can reduce costs by as much as USD 11 per call while handling support in multiple customer service channels. According to Dimension Data, although Web-based services account for a significant portion, 55% of customers find web-based self-service portals challenging to use. Many companies are mainly focusing on enhancing their knowledge base. According to SuperOffice, in the process of merging content, removing outdated material, and ranking content by most popular response, the company witnessed an increase in FAQ reads from 50,000 in 2017 to more than 300,000 in 2019. Therefore, many companies are adopting knowledge-based solutions that are consistent, user-friendly, simple to understand, and capable of utilizing a range of media while updating in real-time.

Click Here to Download Sample Report >>  https://www.sdki.jp/sample-request-90136 - The adoption of digital assistants is one of the significant trends emerging in the market. In the Retail and BFSI industry, chatbots have become a primary self-service feature. The companies are also utilizing digital virtual assistants to enhance the customer experience. To leverage competitive advantages, more companies are implementing AI- and ML-enabled chatbots, as well as other forms of virtual assistants, to enhance the customer experience. Further, chatbot technology is gaining a lot of interest, with several companies making significant investments in Customer Relationship Management (CRM). - Companies, like Oracle, are claiming that the recent COVID-19 crises have further expanded the scope of digital assistant or chatbots among the organizations, not only for consumers but also for employees. Many of AI-enables solutions include conversational service via chatbots to answer questions 24/7 while reducing incoming chats and calls. The recent increase in the work-from-home model can also expand the use of digital assistant for both consumers and employees. In many industries, contact center managers are witnessing an increase in the volume of inbound customer service calls during the COVID-19 outbreak. In contrast, most contact centers could not operate at full capacity. Hence, AI-based digital assistants can play a significant role in this. Key Market Trends Retail is Expected to Hold Significant Share - Retail is one of the major investors and adopters of the customer self-service solutions for many years; the trend is also expected to continue in the coming years. Retail companies are vying to deploy new technologies and are witnessing the growing adoption of self-service checkouts. Self-service has already made inroads in the product-scanning technology, which is being incorporated by retail majors. - According to Jumper.ai, chatbot technology isn't just a customer service tool for retailers, as it also can collect unique first-party customer data. The recent trend of AI in the sector is also developing space for technology. According to analytics firm Invoca, nearly half (49%) of the US consumers trusted advice generated by AI technology in the retail category, more so than any other type analyzed. In May 2020, Wallmart used the first-ever AI-powered Self-Service Scales to its stores in China. - US-based Zappix offers cloud-based Digital Self-Service solutions that leverage the speed of Visual IVR and the convenience of Robotic Process Automation (RPA) to provide enhanced customer experiences. Some of the claimed benefits of the solutions for retailers mentioned by the company are reduced calls to agents, lower contact center costs, enhanced customer experience, automation of repetitive processes, targeted revenue growth opportunities, enabling live agents to focus on high-value queries, and shorter average handling times per call, among others. - Zappix also claims that its solution can be integrated with any CRM, Order Management System, and other back-end systems to connect customers directly to the retailer. The company also offers Zappix Actionable Analytics that tracks the customer journey and provides reports analyzing consumer behavior and trends. With other retail companies expected to follow suit, the demand for self-service solutions poised to increase. However, the risks of data theft, fraud, and losing a touch-point with the POS customers are expected to challenge the deployment of self-service solutions in the retail industry. North America Contributes to Maximum Market Share - North America has the largest market share and dominates the customer self-service software market. This is due to the rising social media penetration, significant self-service software vendors, and high cloud-based deployment of self-service solutions. The increasing penetration of web self-service solutions and mobile among consumers is also estimated to encourage the growth of the North American market in the next few years. Additionally, the presence of several leading customer self-service software players is anticipated to supplement the development of the market studied. - US-based Big Fish Games uses an automated SmartAssistant that leverages information from the customer’s web session (including keywords searched), to offer a 360° personalized service. Using this approach, Big Fish Games has increased its customer satisfaction to about 94%, achieved a self-service web rate of 96.4%, and saved USD 870,000. The recent COVID-19 outbreak further expanded the scope and adoption of customer self-service solutions in the retail industry. For instance, Walmart, in its 22 Canadian stores, deployed self-scanning outlets. - Walgreen’s Drugstore.com offers web self-service on Facebook and Twitter. Customers who search and shop online can chat with an agent, to find products, resolve issues, and learn about promotions. With this strategy, the company has raised order sizes by 20%, and saved around USD 350,000, through call deflection. 7-Eleven Inc., an American international chain of convenience stores, offers chatbot on Facebook Messenger to enhance the customer experience. The chatbot converses with the customers, using AI that powers automation, but also lets the users sign up for the 7Rewards customer loyalty program, and find a nearby store with available discounts and promotions. - Large companies in the region have already embraced AI as a part of their digital transformation. For instance, banking service providers, like JP Morgan Chase, Bank of America, and Capital One, have already deployed virtual assistants in the form of chatbots. They have also successfully streamlined their back-end operations, such as workforce management, thereby saving high costs. IBM offers AI solutions for call centers, quoted that bot interactions in the banking industry are expected to hit 90% by 2022. Competitive Landscape The customer self-service software market is fragmented, due to the rise in self-service, like ATMs, Kiosks, and vending machines. The need for the software is also increasing, which makes the market attractive for many companies to enter with their product offerings. Moreover, many players are offering many solutions catering to the need of the consumers. Some of the key players in the market studied are Oracle Corporation, Salesforce.Com Inc., SAP SE, Microsoft Corporation, BMC Software Inc., and Verint Systems Inc., among others. - May 2020 - Oracle announced the availability of Oracle Analytics for Cloud HCM which is built on Oracle Analytics Cloud and Oracle Autonomous Database, Oracle Analytics for Cloud HCM provides HR executives, analysts, and business people with better insights into workforce management by enabling a comprehensive view into data from across the organization. The self-service analytics capabilities help customers get the maximum value of Oracle Cloud HCM. - November 2019 - SAP SE and Accenture formed a partnership for co-innovating and co-developing the new SAP Cloud for utility solutions to help companies manage business processes and customer experiences more effectively. SAP Cloud for Utilities utilizes smart technologies and real-time business insights, offering better capabilities around marketing, product bundling, self-service, and the fulfillment of multiple functions. Reasons to Purchase this report: - The market estimate (ME) sheet in Excel format - 3 months of analyst support

The dynamic nature of business environment in the current global economy is raising the need amongst business professionals to update themselves with current situations in the market. To cater such needs, Shibuya Data Count provides market research reports to various business professionals across different industry verticals, such as healthcare & pharmaceutical, IT & telecom, chemicals and advanced materials, consumer goods & food, energy & power, manufacturing & construction, industrial automation & equipment and agriculture & allied activities amongst others.

For more information, please contact:

Hina Miyazu

Shibuya Data Count Email: sales@sdki.jp Tel: + 81 3 45720790

Related Links https://www.sdki.jp/

[digitalemployeeexperience]

Let your chatbot do the menial tasks, and agents take over complex issues. Deliver excellent customer experience today. Request for a demo https://bit.ly/3jgjRZM #chatbot #bot #automation #customerexperience #employeeexperience #servicedesk #helpdesk #artificialintelligence 

[itsrahulpradeepposts]

Top 9 Artificial Intelligence Startups in India 2020 these Startups leading the tech wagon

Artificial Intelligence (AI) and Machine Learning (ML) are technologies that have seen a tremendous uplift both in terms of investment and innovation in the past three years. They are now being implemented across diverse verticals such as manufacturing, healthcare, fashion, agriculture, real estate, voice-based solutions, etc.

In India, AI startups started emerging in the year 2016. Over the next two years, the growth in the AI startups space has been staggering. A recent report estimated that around $87.85M was alone raised in the AI space in India’s startup capital, Bengaluru. Owing to the spectacular growth in the AI sector, India has emerged as a nation with a robust ecosystem that enables AI startup professionals and founders to kick-start their ventures.

Top 9 Artificial Intelligence (AI) startup Companies in India

Manthan

SigTuple

Mad Street Den

Haptik

Flutura

Uncanny Vision

Arya.ai

Bash.ai

Niki.ai

Manthan

Employee Strength: 501–1000 | Glassdoor Rating: 3.6

Manthan is an AI-based analytics company that was founded in 2003 with an initial investment of $98 million.

The company’s AI-powered retail analytics platform provides prescriptive and descriptive analytics for users, grow customer engagement, and recommend actions.

Manthan’s AI platform caters to 170 customers across 21 countries.

It helps them in various areas such as marketing, customer targeting, inventory, pricing, and promotions.

The Bengaluru-based company also has a Natural Language Processing(NLP) engine called Maya.

Maya acts as a business assistant and can answer questions such as sales trends, last month’s profits, etc.

In 2018, Forrester Research named Manthan as a strong performer in its Customer Analytics Solutions Wave Q2 report.

SigTuple

Employee Strength: 51–200 | Glassdoor Rating: 3.6

By raising $25 million in 2015 from investors, SigTuple began its operations in Bengaluru.

Using AI and machine learning, the startup develops medical diagnostic solutions. The company’s AI platform is built to perform “screening and advanced diagnosis of urine, blood, semen samples, along with retinal scans and X-rays.”

A patient’s samples are first analysed by SigTuple’s AI algorithms. They are then sent to a pathologist for review and finally sent back to the point-of-care in 5 minutes.

So in this process, the initial diagnosis is done quickly and ambulances can be dispatched to carry emergency medicines to patients.

The company is also known for creating an automated microscope to make up for the lack of pathologists.

Mad Street Den

Employee Strength: 51–200 | Glassdoor Rating: 4

Mad Street Den is one of India’s first AI and Computer Vision startups.

The Chennai-based company aims to bring AI into the daily lives of customers in verticals such as IoT and connected cars, user engagement & analytics, online fashion, mobile gaming, social media, etc.

Vue.ai is the company’s flagship product which serves retailers, specifically in fashion, across the globe.

It also makes the shopping experience more meaningful to customers by showcasing products that are most relevant to them across sites, apps, and stores.

The company caters to clients across Asia, Middle East, US, and Europe. Its clientele includes brands such as Voonik, Tata, Zilingo, Craftsvilla, etc.

Mad Street Den was also included in Bloomberg’s 2017 list of the world’s 50 most promising startups.

Haptik

Employee Strength: 51–200 | Glassdoor Rating: 4.6

Haptik specializes in developing AI-based chatbots for enterprises, service companies, and consumers. The company was founded in 2013 in Mumbai with a $12 million funding. Haptik provides specialized bots for various industry applications.

It also provides customers with a 1. Hybrid interface for human-to-AI transitions 2. Drag-and-drop bot builder 3. Detailed conversation analytics.

In 2018, Haptik entered into a partnership with Amazon AWS. This partnership will enable the company to incorporate AWS’s cloud offering, AI tools, and advanced database framework.

The company’s global clientele includes well-known names such as Coca Cola, Amazon Pay, and Samsung.

Flutura

Employee Strength: 51–200 | Glassdoor Rating: 3.7

Flutura is an IoT startup based out of Bengaluru.

The company is a provider of big data analytics solutions with a vision to transform operational outcomes by monetizing machine data.

The company’s flagship product is called Cerebra. Through AI, Cerebra provides diagnostics and prognostics to unlock new business value for energy and engineering customers across the world.

The company has clientele such as Hitachi, Henkel, Sodexo, GTT, etc.

It also has notable partnerships with Bosch, Halliburton, and Siemens.

Flutura was recognized by CIO Review magazine as one of the Top 20 Most Promising Big Data companies in 2015.

Uncanny Vision

Employee Strength: 1–50 | Glassdoor Rating: 4.5

Another Bengaluru-based startup, Uncanny Vision uses Deep Learning-enabled vision algorithms that run on Edge servers, to develop surveillance solutions.

The company delivers scalable and cost-effective security for next-generation smart industries and safe cities.

For high-value customers in banking and retail, Uncanny Vision also enables real-time actionable surveillance and analytics.

The company graduated from the Target Accelerated Program in 2016.

It was also part of the third edition of Nasscom Innotrek 2016.

At the Nasscom Awards 2017, it was selected as one of India’s Most Innovative Top 50 Emerging Software Product Companies.

Uncanny Vision is also the winner of YourStory’s search for Top 30 Tech Startups for 2018.

Arya.ai

Employee Strength: 1–50 | Glassdoor Rating: 3.5

Arya.ai is a Mumbai-based AI startup that helps other AI startups solve complex problems at a much faster pace.

The company caters to industry verticals such as Banking, Insurance, Medicine and Healthcare, Retail, and Oil and Gas.

Through its core product, Vega, Arya helps in building complicated systems really fast and helps users in automating multiple complex solutions.

Vega was designed for researchers and data scientists to build Deep Learning Algorithms at scale. For example, using the company’s platform, insurance firms can process insurance claims in minutes.

In the banking industry, Arya’s platform helps in cheque automation.

Apart from being based in India, the company is also spread across the UK and Singapore.

Bash.ai

Founded in 2017, Bash.ai helps in automating HR systems and procedures complete with virtual assistants and replicating cognitive HR functions.

Using AI and big data, the company powers virtual assistants and drives HR for businesses by mimicking cognitive functions related to HR.

Bash’s AI chatbot helps companies get a real-time and highly accurate way to automate conversation with employees.

The company provides 24/7 assistance, is super fast and increases productivity.

The AI-powered HR chatbot can be accessed using instant messengers such as Skype, Slack, and Facebook Messenger.

Currently, Bash.Ai offers modules such as ticketing, HR helpdesk, post-hire orientation, organize HR activities, employee engagement, and payslips related queries.

The company’s main aim is to create an ecosystem where humans and AI co-exist efficiently in HR settings.

Niki.Ai

Employee Strength: 51–200 | Glassdoor Rating: 4.1

Niki.Ai was founded in 2015 with seed money of $2.4 million.

The company’s main product is an AI-based shopping assistant and chatbot.

The AI assistant helps customers with the help of NLP and ML by helping them shop for products and services over a chat interface.

It also helps in automating things like online ordering, phone recharges, and payments.

The company currently caters to over 2 million consumers and provides 20+ services.

The intelligent chatbot is now available on Android, iOS, and Facebook Messenger.

If you are interested in the domain of AI and deep learning and want to learn more about the subject, check out Great Learning’s PG program in Artificial Intelligence and Machine Learning.

[ntrinnu2]

Benefits Of Conversational-AI For HR Management And IT Service Management

What if your human resource direction team? The reality is, conversational bot could perform a great deal more than simply automate paper-driven responsibilities. In actuality, it's among the fastest growing and most easy means to not merely simplifies all of your processes however in helping you fulfill your HR objectives.

The Most Usual Human Resource Management Difficulties

Data proves that businesses pay the maximum on human resources. According to linked-in Talent alternatives, 59 percentage of organizations are investing inside their own employer brandnew. However, a set are of difficulties that are continued that companies want to resolve:

Siloed Procedures,

Functional onboarding,

Much Greater recruiting practices,

Greater worker participation,

Gathering and checking analytics,

Re-tention,

Seamless scaling in ancient stages.

Round the board, companies continue to research the most effective techniques to approach those procedures.

Chatting bot will not merely offer task automation, but it also includes conversational sites and site parts. It gives a very simple interface that takes a learning curve for anyone on the staff. Beneath the hood, it provides info gathering and procedures which could be manipulated in one stage.

Here conversational AI can solve the challenges human resource handling confronts now:

Very Quickly Converge Siloed Techniques

One of the absolute most problematic areas in human resources, in addition to in virtually any organization, is the way that processes come together for cohesion. Single accounts, most businesses apply, on average 14 methods.

Pc software options, contracted or third-party HR groups and roles are one method to support new-hire orientation, your group monitor, payroll, taxes, worker benefits and expense tracking. Aisera will be the best provider for AI-powered IT service management service.

Functional and Engaging on Boarding

Onboarding staff members will be a focus area for growth. It's likewise been a portion of this first belief to get a new worker, although it has exploded to include compliance and paperwork tasks. A bothersome on boarding experience involvement and can thwart retention rates.

A conversational user-interface can easily walk into a new hire by way of every element of on boarding, from electronic signatures for paper-work to supplying a virtual office excursion. AI-powered helpdesk may conserve a substantial quantity of your time by recommending services to each specialists as well as employees.

Although other applications can can provide similar elements, a conversational user interface will do more easily. It gives an virtual assistant in a conversational circumstance that may guideanswer queries and extend support using solitude.

Even the chances are extensive. Picture uploading short videos out of current employees as part of the on boarding approach. This ice breaker is just a single method you'll be able to utilize media to engage and build employee trust, even prior to the hire beginning date.

Ease Compliance Tasks

It will take a savvy and passionate human resource direction to keep on top of employee funding. However a conversational part can offset their own workload.

HR management must handle new codes and make sure that the associations runs safely and legally. The way your business enforces it and conveys this, effectively is just as important.

The AI-powered chatbot can be trained to send alerts for anything from fresh country regulations to approaching deadlines to a busy HR team. It may also be trained to alert workers of new information or some outstanding objects that can have an effect on them. It could customize this information based on details.

Has your state rolledout a new family leave possibility? Computer software that comprises an conversational component can alarm staff that may benefit from this. It might simplify the process by walking a worker through paperwork or application admissions , scheduling conferences for info or answering simple issues.

[ilhamadorock]

Exactly How AI-Powered Chatbot Increases Your Maximum Edge In ITSM

From speech-enabled interfaces which improve consumer encounter, to intelligent chatbots that provide 24/7 customer service, or assistants who drive sales revenue, conversational bot is shifting customer interaction.

Fundamental for the accomplishment and impact of chatting AI has been its ability to capture and interpret conversational information to uncover precisely the same voice of the consumer, ultimately revealing what your visitors actually presume. This may be the most advice that will produce the insights crucial to transforming your business bottom line.

With this kind of a wealth of information and clients demanding the faster, far more personalized experience that conversational bot offers restrict the advantages of chatting AI to one portion of their company such as customer support?

As they traverse via different sections interacting with customers and many signature points offers businesses the chance to learn before. From first production to client assistance, sales, repeat business and even internal procedures and HR, just about every link reinforces your connection.

No matter whether its driving online product sales revenue using virtual sales supporters, to brand new means of distinction via voice that is intelligent ports, consumer participation is critical to boosting your competitive benefit. Aisera will be the ideal site that provide AI-powered helpdesk service.

The Importance of Customer Engagement

Customer participation is fundamental to the accomplishment of an organization. Increases endurance. A 2% increase in customer retention gets the same effect in the lowest lineup since falling costs by 10%.

But clients are unpredictable creatures. They no more desire to react to your email, combine loyalty programs, or enjoy you. Go ahead with their lives and they would just like to find something as quickly as possible. Hurry and convenience are decreasing over brand and cost. That means paid down engagement, less interaction and chances to better comprehend exactly the requirements of one's visitors. AI powered ITSM urges helpful and also prompt service control, being sure both professionals and workers think connected, engaged as well as certain in their own service expertise.

How conversational bot Reduce Friction

Lowering friction at a person's travel is one among the targets for companies now. Regrettably channels are fraught with issues of annoyance. Gadgets are receiving smaller exiting no or little area for navigation menus; at the navigation menus are increasingly becoming more technical since companies boost the material readily available for clients. Friction is created by each and every hiccup at the consumer's experience of trying to find advice, make a purchase, or solve a problem. Since individuals normally choose the path of resistance, these areas of agitation impact negatively impact the customer-experience and drives the customer away.

Conversational bot resolves the problem. Nevertheless, it's not merely a conversation. The capacities behind AI-powered chatbot allow for applications to do much more as fill out forms, make recommendations, up market, publication appointments. It, conversational-AI is built to do it.

With conversational artificial intelligence customers can take out on-line tasks quicker and easier than ever before. This not only reduces friction but also boosts the consumer experience, which improves involvement.

Conversational bot Attributes Increase Engagement

Providing customer service when it comes is sufficient. Your customers want to have an event which is convenient and fast, 24/7 and 365 days. Use their voice when driving to do the job to make an online purchase or they want to message you a question whilst still waiting online for java. They want to be known with their own words, no matter your own jargon. And they also wish to accomplish thus using the large number of companies and devices which interact with every single day.

Conversational artificial intelligence helps eliminate the issues that customers have interacting by understanding with partnerships over electronic channels; acting into a human-like manner, usually remaining constant and offered over whatever station they select. At the same time, it supplies an opportunity to enhance the customer experience using engagement customer assistance, and customer satisfaction.

The features of conversational-AI align themselves using these required to provide a experience:

Easy and Effortless

Consumers can socialize using an enterprise at any moment, by simply asking a problem with their own words without any necessity.

Personalized and Relevant

Replies and data supplied is personalised using advice given during the conversation, combined with the comprehension of the likes and preferences of individual.

Intelligent

The interface will be really capable of tackling average conversations involving vagueness, circumstance, along with disturbance. It might get databases or back end systems to provide a comprehensive answer.

Consistent

Regardless of their question is phrased by the customer , they have been supplied a correct response within every station.

[passiveaggressivecat]

Just How Conversational-AI Increases Your Maximum Edge In IT Service Management

Just from speech-enabled ports that improve consumer encounter, to smart chatbots that produce 24/7 client service, or supporters who drive sales revenue, conversational artificial intelligence is fast shifting customer discussion.

Fundamental for the achievement and impression of chatting bot is the way it can catch and interpret conversational information to find the single voice of the purchaser, eventually revealing what your clients actually think. This may be the most information that'll produce the important insights crucial to changing the bottomline of your company.

With a wealth of data out there, and clients demanding the personalized knowledge that chatting AI provides, and why restrict the advantages of conversational-AI to one portion of their company such as customer support?

Since they traverse via different departments interacting with customers and a number of signature points gives businesses the opportunity to master before. From initial generation through to client service, sales, repeat business and maybe even HR and inside processes, the partnership is strengthened by each connection.

No matter if its driving product sales revenue using sales supporters, to new methods of distinction via voice interfaces, consumer engagement is critical to boosting your competitive benefit. Aisera could be the ideal site who offer AI-powered helpdesk service.

The Need of Consumer Engagement

Customer involvement is essential to the success of an organization. Raises endurance. A 2 percent boost in customer retention gets the same effect on the lowest line since diminishing fees by 10 percent.

But customers are fickle animals. Enjoy you on face book, join loyalty plans, or they desire to respond to your every email. They just want to find some thing done as quickly as possible and move on with their own lives. Speed and convenience have been winning over brand and cost. That means opportunities to comprehend the requirements of your visitors participation and interaction. AI-powered IT Service Management urges helpful and also quick service administration, ensuring both specialists as well as staff members think linked, interacted and also self-assured in their own service expertise.

How conversational artificial intelligence Reduces Friction

Minimizing friction in an customer's journey is just one of the objectives for businesses today. Electronic stations are all filled with issues of annoyance. Units are becoming smaller exiting little if any area for navigation menus; since organizations raise the content readily available for clients, in the same navigation menus are becoming more complex. Friction is created by each hiccup at the consumer's experience of trying to find advice, make a purchase, or even remedy a problem. Since individuals normally opt for the course of resistance, these regions of overtraining influence adversely affect the customer-experience and drives the customer away.

Conversational AI resolves the problem by enabling clients to request what they need using their particular words and vocabulary. However, it's not a conversation. The capacities behind AI-powered chatbot allow for software to perform much more as fill forms, make recommendationsup market, publication appointments. It, chatting bot is built to do it.

With conversational artificial intelligence clients can take out complex tasks simpler and faster than ever before. This reduces friction but in addition improves the client experience, which increases participation.

Conversational bot Features Enhance Engagement

Providing customer service when it comes is no longer adequate. Your customers want an experience which is suitable and rapid, 24/7 and 365 days. Utilize their own voice when forcing to do the job to produce an online purchase or they want to message you a matter whilst still waiting online for java. They are interested in being known using their words, no matter your jargon. And they want to do thus employing the large number of services and apparatus which connect to every single day.

Chatting AI may help get rid of the difficulties which customers have getting together by understanding with partnerships over electronic channels; behaving in a manner, constantly becoming offered and consistent over whichever channel they opt for. At the same period, it supplies a chance to enhance the customer-experience with customer satisfaction client service, and increased engagement.

The features of chatting AI align themselves using those needed to provide a experience:

Straightforward and Easy

Customers can socialize with an enterprise in any time, simply by requesting a problem using their own words without any requirement to know your organization jargon.

Personalised and Related

Replies and data is personalised using advice provided throughout the conversation, along with the comprehension of patient's preferences and likes.

Intelligent

The port will be capable of handling typical conversations involving ambiguity, context, and interruption. It can get databases or back-end systems to deliver an extensive reply.

Consistent

They are supplied a consistent, correct response over every station regardless of the way their issue is phrased by the customer.

[thetechmedia1]

Tech Firms in India Step in to Fight COVID-19

COVID-19 has brought the whole world to a standstill and confined people to their homes across the globe. In such a scenario, many tech companies are collaborating with governments, researchers and communities in the fight against Covid-19. Some are also undertaking various humanitarian efforts to prevent the spread of misinformation.

SAP recently launched ‘Bridge-IT’, an app created using SAP and Qualtrics technology that’s aimed to provide employees and customers with accurate real-time facts on COVID-19 and personalized guidance on how to cope with the virus.

“The current situation requires enterprises to provide with accurate and real-time facts on COVID-19 as well as personalised guidance on the next steps to maintain business continuity. With the volume of information available around us today, it is necessary to take steps towards restoring the right to correct information for all,” said Anil Khatri, Head IT – South Asia, SAP.

Khatri informed that the app is created to collate information from trustworthy sources including The World Health Organisation (WHO) and combine it with specific country data, local government guidance, travel information and relevant company policies to provide localized information for users.

Chipmaker Intel is working with India’s Council of Scientific and Industrial Research and International Institute of Information Technology, Hyderabad, to deploy Intel client and server solutions to help achieve faster and less expensive COVID-19 testing and coronavirus genome sequencing to understand epidemiology and AI-based risk stratification for patients with co-morbidities or in other words, more than one illness or disease occurring in one person at the same time.

Intel is also collaborating with IT apex body NASSCOM to build an application ecosystem and multicloud backend to enable population-scale COVID-19 diagnostics, in order to predict outbreaks and to improve medical care management and administration.

TTM.com/wp-content/uploads/2020/03/cyber-corona-24×16.jpg 24w, https://www.TTM.com/wp-content/uploads/2020/03/cyber-corona-36×24.jpg 36w, https://www.TTM.com/wp-content/uploads/2020/03/cyber-corona-48×32.jpg 48w, https://www.TTM.com/wp-content/uploads/2020/03/cyber-corona.jpg 675w” sizes=”(max-width: 300px) 100vw, 300px”>IT firm Nutanix has also stepped up support to businesses in India and the larger Asia Pacific. To ensure availability to cloud based remote working solutions, it is offering free Virtual Desktop Infrastructure (VDI) and DaaS software to enable businesses, individuals, teams, customers, and partners to be up and running within an hour.

“Isolated staff can then have safe and secure access to any application simply from their home web browser, with no software download or upgrade required. As part of our commitment to assured and uninterrupted availability of service, we have also increased availability of Xi Frame with 5 new ‘cloud regions’. This brings to 25 the total number of Azure, AWS, and GCP data centres across the region available to accommodate businesses as they struggle to remain efficient and productive,” said Balakrishnan Anantharaman, Vice President and Managing Director of Sales, India and SAARC, Nutanix.

“We are also aware that that this accelerated race to the cloud needs to be managed appropriately. Optimising resources and spend is both prudent and critical in turbulent times – we are therefore supporting organizations with Nutanix Beam, which optimizes public cloud spends and monitors policy and compliance requirements to ensure businesses are able to navigate the fallout from the COVID pandemic,” he added.

Bangalore-based Hinduja Global Solutions (HGS) is also helping clients to better manage the crisis through various technology-led business continuity solutions such as HGS DigiBOTS Crisis Assistance solution that uses artificial intelligence to deliver HR-related info faster to employees, HGS Work@Home, HGS EPIC social media tool, etc.

Read more: How to Create a Resilient Business Model in the Face of COVID-19

“Today, the entire world is fighting an unprecedented crisis COVID-19. As a responsible corporate, HGS has put its best foot forward to protect our employees and clients as well as assist our communities and governments in their fight against the disease,” said Srinivas Palakodeti, Global CFO, HGS.  He adds that with over 1,200 qualified registered nurses, the company is offering phone-based nurse triage services to provide front-line support for COVID-19 callers and enable staff of US-based healthcare providers and health insurance plans to focus on critical case requirements.

TTM.com/wp-content/uploads/2020/05/coronavirus-in-india_CXO-24×18.jpg 24w, https://www.TTM.com/wp-content/uploads/2020/05/coronavirus-in-india_CXO-36×27.jpg 36w, https://www.TTM.com/wp-content/uploads/2020/05/coronavirus-in-india_CXO-48×36.jpg 48w, https://www.TTM.com/wp-content/uploads/2020/05/coronavirus-in-india_CXO.jpg 600w” sizes=”(max-width: 300px) 100vw, 300px”>

“For our own employees, we have developed a self-diagnosing bot called ‘HGSQuickEntry’, an easy-to-use mobile app that allows our employees to self-screen for any health issues before reporting to work. We are also leveraging a host of tools to help create a better experience for them while working from home… this includes client delivery, training and employee engagement,” mentioned Palakodeti.

HGS has also taken steps for making the community safer. He said, “In Karnataka, we are collaborating with a few other BPM companies in supporting two of the state government’s critical helpline initiatives.”

One is a 24-hour COVID-19 phone helpline with volunteer agents answering various queries from citizens while the second is Apthamitra, a telemedicine helpline manned by over 50 nurses and doctors. HGS has also donated over 30,000 reusable masks to the Bengaluru City Police to protect police personnel as they continue to enforce prescribed government guidelines. “We’re actively supporting Hinduja Hospital in setting up isolation wards, purchasing medical equipment and procuring face masks for distribution among COVID warriors,” Palakodeti said.

ThoughtWorks and Ashoka University have collaborated to develop what it calls India’s first ultra-large-scale agent-based simulation model to stop the spread of COVID-19. The model, called BharatSim, builds on EpiRust, an open source framework, said ThoughtWorks.

Gunjan S, Director, ThoughtWorks Engineering for Research (E4R) said, “In  BharatSimeach individual is simulated as an “agent” on a computer. The properties of agents are chosen to match those known from district and state-level demographic studies, including age distributions, sex ratios, population densities and health indicators. The model will also include geographical information.

“The model will initially represent 5% of the Indian population at a level of detail most useful to epidemic modelling. In the coming months, it will be expanded to represent up to 40% of the Indian population,” she informed.

Some of the toughest problems and challenges in science today need scientists, academics and technologists to come together. Given the unprecedented nature of the problem at hand, teaming up with Ashoka University we believe we can provide the right tool for policy makers,” S Mahale, another director of the company, added.

There are several other such examples. ‘MyGov Saathi’ has been developed pro-bono by Accenture in collaboration with Microsoft needs a special mention. The AI powered virtual agent to support the government’s communication efforts around Covid-19 and Self4Society.

According to the company, “It will provide provide ready access to Covid-19 related resources such as latest updates, helplines, advisories from various central and state government departments, and access to Self4Society initiatives including donation and volunteering,”

Artificial intelligence (AI) chatbot company Haptik Infotech, a Reliance Jio-backed tech firm developed the MyGov Corona Helpdesk chatbot, the government’s dedicated WhatsApp chatbot MyGov Corona Helpdesk, which aims to provide timely updates and help citizens clear their queries on Covid-19.

Gurgaon-based start-up Staqu has launched a thermal camera under its video analytics platform, JARVIS. This technology will alert the system of anyone with a body temperature of above 37° C and examines heat signatures directly through the cameras, enabling authorities to spot and further inspect suspected virus carriers. Many other startups have also joined the bandwagon and coming up with new solution to help the government in the fight against the coronavirus pandemic.

Read more: Start-ups assisting government to combat COVID-19

Like the rest of the world, India needs to sustain and enhance an innovation mindset to continue the fight against COVID-19. As former Microsoft CEO Bill Gates observed that innovation will be critical to stemming the damage from COVID-19.

“…During World War II, an amazing amount of innovation, including radar, reliable torpedoes, and code-breaking, helped end the war faster,” Gates wrote. “This will be the same with the pandemic. I break the innovation into five categories: treatments, vaccines, testing, contact tracing, and policies for opening up. Without some advances in each of these areas, we cannot return to the business as usual or stop the virus.”

Meanwhile, the number of coronavirus positive cases in India has risen sharply over the past two days and it has crossed 62,000-mark, as confirmed by the Ministry of Health and Family Welfare’s data and needs immediate attention by the government and private organizations alike.

The post Tech Firms in India Step in to Fight COVID-19 appeared first on TTM.com.

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[babbleuk]

5 questions for… Aware by Wiretap

Wiretap is a purveyor of “collaboration tool monitoring and governance” solutions, a.k.a. software that can scan the messaging and files within a collaboration platform. Its flagship product, Aware by Wiretap, monitors all content, including private messages and the content of files, shared with both internal and external members of platforms such as Yammer, Workplace by Facebook, Slack and Microsoft Teams, and send alerts in the case of a ‘toxic employee’ or policy breach.

In these five questions, I wanted to know what was behind the need — that old question of, is this a product or a feature; what’s net-new vs re-facing and renaming older solutions, and so on. And also, frankly, because I was intrigued by the name!

1. I see Aware by Wiretap as DLP applied to collaboration platforms, what did I miss? 

Aware by Wiretap does have some underlying DLP capabilities as it relates to your collaboration platforms, but goes beyond your traditional DLP, as it provides external and internal compliance governance that does more than security-focused DLP. Aware avoids impacting the intended experience of the platforms by running in the background. The platform utilizes Wiretap’s proprietary, enterprise-specific AI models, and provides human context by giving your organization insight into employee behavior, such as message sentiment. You can determine if it was a malicious or an accidental occurrence – and you can even educate the user about proper protocol automatically through the platform.

2. In Venn diagram terms, what is the size of the problem that Aware by Wiretap is looking to solve, e.g. relative to email, web site breaches?

The enterprise collaboration market is expected to grow to $70 billion by 2019 but little thought has gone into monitoring solutions to allow organization wide adoption, especially in highly regulated industries. In fact, many organizations have multiple collaboration platforms inside the company at any given time. While we protect against some external threats, we’re primarily focused on the insider threat detection as it pertains to collaboration security and compliance. As such, we offer a centralized point of governance across the platforms – organizations only need to use one dashboard, one set of policies, one set of actions, to govern multiple collaboration tools.

3. You make a thing of encouraging positive interactions — how do you square the intrusion and overhead vs protection and improvement circle?

Employee monitoring has existed for decades — we generally expect mail, email and voicemail, and HR-related information to be the property of our employer. Generally, people don’t enjoy not being ‘fully trusted’ by our employer; but we don’t always connect the dots between monitoring as a workplace necessity, and its role in protecting employees from situations such as sexual harassment, inappropriate communication, threats, rumors, and a toxic culture.

Inappropriate messaging doesn’t just put the company’s reputation at risk, it can also hinder productivity. For example, if a female engineer is propositioned and harassed by her boss on the company’s collaboration network, which was installed and intended to spur collaboration and innovation, how can she possibly be compelled to participate on that network? Also consider that this employee may not report the behavior due to the fear of retribution. The reality is companies must provide a safe, compliant and secure environment for employees, customers and other stakeholders in order to enable positive collaboration and fully realize the benefits of the investment.

4. How does Aware work in a mobile context?

We monitor the collaboration platform, regardless of how users connect to the platform. Our implementation method not only allows mobile coverage, but easy installation (hours not days) and time to value for an organization.

5. What specifics of GDPR are you looking to address with your data management module?

The Aware Data Management Module provides tools to help organizations address several GDPR provisions as it pertains to a company’s collaboration platform. This includes Article 5’s principles for processing of personal data, as well as Article 12 (on transparency of use), 15 (right of data access) and 17 (right to erasure/right to be forgotten).

6. And a bonus question: is the company name deliberately ironic/controversial/honest?

Deliberately provocative! It was important for our name to be memorable particularly in our early stages when we focused more on security. Now that we focus more on employee behavior, compliance and culture protection, we’ve started to soften the tone and relaunched the product as Aware by Wiretap late last year. Our product name is on a journey alongside the platform. As we continue to add features and evolve the platform to add value across organizational departments, we’ll continue to look ahead at the roadmap and evaluate the most appropriate name.

My take

Wiretap sits in an interesting zone somewhere between function and platform. As long as there are evolving events and contexts to monitor, we will need capabilities that focus on the monitoring, alongside the products and services that do the ‘core’ work — such as collaboration. Wiretap’s use of AI — in this case, natural language recognition and rule modelling — is perhaps the most intriguing element here as it aligns with the evolution of platforms such as Slack, with their use of bots and other AI-driven automation. There’s nothing to stop Aware being used for broader handling of events (indeed, Wiretap says it is already being used to recognize helpdesk requests) — which moves the product into the broader category of AI-based collaboration support.

As ever, it’s important for smaller vendors such as Wiretap to stick to their knitting: however generic the solution can be, vendors with a clever algorithm who say “well, it can be used for anything” tend to find themselves out on a limb. As the collaboration space evolves however, vendors such as Wiretap may find themselves being drawn into new areas by market need.

In the meantime, it is a fact that the success of collaboration tools has not been paralleled by security and compliance protections: indeed, some of the success of tools like Slack and so on could be put down to the fact that they are less encumbered than traditional collaboration mechanisms (email and the like). While this means Wiretap is filling a necessary gap in the market, it may also be a reflection of the state of maturity of collaboration today.

For IT decision makers, Wiretap may well respond to a problem — either to resolve a risk/challenge with inappropriate use of messaging, or to demonstrate that collaboration behaviors are conformant to corporate policy or indeed, regulation. Even if this is the case, use of a product such as Aware by Wiretap should still be considered within an overall framework of acceptable use policy, training and awareness across the employee base.

      from Gigaom https://gigaom.com/2018/03/13/5-questions-for-aware-by-wiretap/