WEBINAR

3+ Stakeholder Tools Driving AI
Transformation

Wednesday, April 02, 2025

9:00 am PT/12:00 pm ET

Searching for answers shouldn’t feel like searching for a needle in a haystack. Employees waste valuable time navigating hundreds of applications and knowledge systems to find the information they’re looking for, leading to frustration and inefficiency. AI agents can change this by instantly delivering the answers users need, identifying knowledge gaps through data analysis, and creating fresh, relevant content to keep your knowledge base up-to-date.

Join this webinar, where we’ll demonstrate how AI can transform knowledge management and self-support service with critical stakeholder tools.

In this session, you’ll see how to:

• Leverage AI to personalize knowledge delivery to drive employee self-service adoption
• Proactively fill knowledge gaps before they impact your workforce
• Set up an AI Assistant, including adding connecting to external knowledge sources or adding new languages
• Monitor and optimize an AI Assistant’s performance to deliver on business metrics
• Turn analytics about common employee issues into the foundation of knowledge articles

Discover how AI stakeholder tools can drive innovation, enhance resources, and unlock new levels of productivity for your workforce.

Speakers:

Mandira Chawla

Product Marketing
Manager, Moveworks

Adelina Richards-Kessler

Solutions Engineer,
Moveworks

Register Now

Register Now

[contact-form-7]

About Us

At Moveworks, we are dedicated to enhancing the employee experience with cutting-edge AI technology. Founded in 2016, our mission is to empower every team member by providing a single platform where they can easily access information, take action, and automate tasks across all enterprise systems. By streamlining processes and enabling support teams to focus on high-impact work, we strive to create a more efficient, productive, and seamless work environment for all.

The post 3+ Stakeholder Tools Driving AI Transformation appeared first on Tech Research Online.

WEBINAR

How ManTech is Transforming IT and HR
Support with Agentic AI

Wednesday, April 30, 2025

9:00 am PT/12:00 pm ET

Support for a globally dispersed workforce—especially in highly regulated data environments—must clear a high bar. Employees need instant access to information, and IT and HR teams must scale support without increasing costs or relaxing security posture.

ManTech, a leader in providing technology services and solutions to the U.S. federal government, launched Ask ManTech, an AI-powered assistant designed to automate 90% of Tier 1 requests. By using AI as the “global front door” for IT and HR, they’ve transformed how employees get help—reducing wait times, improving self-service, and breaking through adoption barriers, even in secure environments.

Join Brian Shrift, Executive Director of the Office of the CIO at ManTech, to hear how his team is leveraging AI to drive efficiency, improve the employee experience, and scale AI support.

In this webinar, you’ll learn:

• How ManTech automated Tier 1 support with AI assistant
• Strategies for driving AI adoption across a highly-regulated workforce
• How AI enhances knowledge access for IT, HR, and beyond
• The impact of AI on employee experience and operational efficiency

Don’t miss this inside look at ManTech’s AI operation—register now!

Speakers:

Brian Shrift

Executive Director of
the Office of the CIO,
ManTech

Register Now

Register Now

[contact-form-7]

About Us

At Moveworks, we are dedicated to enhancing the employee experience with cutting-edge AI technology. Founded in 2016, our mission is to empower every team member by providing a single platform where they can easily access information, take action, and automate tasks across all enterprise systems. By streamlining processes and enabling support teams to focus on high-impact work, we strive to create a more efficient, productive, and seamless work environment for all.

The post How ManTech is Transforming IT and HR Support with Agentic AI appeared first on Tech Research Online.

Think of a world where the software is not only a collection of pre-programmed software, but also a smart system that learns, adapts and decides on its own. AI agents are bringing it to life! These AI agents are subsidiary assistants to virtual assistants that maximize sales from intelligent programs. By simplifying worldly works, maximizing efficiency and increasing decision making, they are bringing revolution in the way companies operate.

AI and Robotics are changing the way of doing business, automating monotonous tasks and making better decisions in various industries. AI agents are different from traditional software as they are capable of working independently, learning from data and changing according to new situations without any human intervention. In this blog, we will discuss how AI agents work, their advantages and disadvantages with their development.

Evolution of AI Agents

AI agents have developed greatly with basic rules-based systems, ranging from sophisticated autonomous systems to learning and adaptation. The initial AI agents acted on a certain command basis, reacted to pre-defined input with minimal flexibility. With the development of artificial intelligence and machine learning, modern AI agents now process large amounts of data, recognize patterns, and make real -time decisions.

Today’s AI agents integrate natural language processing, reinforcement learning and nerve network, allowing them to interact with humans, predict the outcomes and optimize operations in industries. As AI technology advances, these agents are becoming more autonomous, intelligent and necessary to run innovation in various fields.

How AI Agent works

AI agents operate by examining their surroundings and data to meet specific objectives. Unlike traditional software, which follows set instructions, agents for businesses utilize advanced technologies like machine learning, deep learning, and natural language processing to understand data and work towards their goals. These AI agents evolve by learning from their interactions that help them in becoming a decision-making support system for the users.

Adaptability makes AI agents essential across various sectors, from customer service robots to tackling intricate challenges in finance, healthcare, and cybersecurity.

Key components of how AI agents work:

• Perception and Data Collection – AI agents collect data from various sources, including sensors, APIs, databases, and user input. This information is used as a basis for decision-making so that the agent knows its environment with certainty.
• Processing and Decision-Making – After processing and data collection, AI agents process the information through machine learning algorithms, probability models and deep education. They analyze their potential tasks and respond the best according to the goal.
• Learning and Adaptation – AI agents apply methods such as reinforcement and nervous networks for adaptation of their performance. They identify the pattern of better decision -making strategies and improve accuracy.
• Action Execution – Depending on their purpose, AI agents manage their tasks such as providing answers, automation of professional processes, controlling or controlling physical objects such as robots and autonomous vehicles. They execute their functions in a way that reduces human labor and improves efficiency.
• Feedback Loop – AI agents use feedback from their behavior and interactions to improve future performance. Through supervised learning, human input, or self-improvement, they become more efficient and smarter with time.

By integrating these capabilities, AI agents enhance efficiency, automate tasks, and drive intelligent decision-making across industries.

Types of AI Agents

AI agents are classified according to their complexity, learning ability and autonomy. They can be simple as rules-based systems or can be complicated as advanced agents that learn and develop over time. The following are the primary types of AI agents, examples of the real world reflect their use.

1. Simple Reflex Agents

Simple reflex agents work by certain rules and only respond to the current situation without learning or remembering previous experiences. They perform well in predictive situations but are challenged with complex or dynamic conditions.

• How They Work: They function on IF-THEN grounds – if a certain position is completed, then they take a related action.
• Where They Are Used: Spam filtering, simple automation, smart thermostats.
• Functionality: They are ideal for simple, repetitive functions but not too versatile.
• Example: Spam email filters that label messages as spam based on keywords or sending behavior.

2. Model-Based Reflex Agents

Conversational AI agents use model-based reflex systems to realize context, remember previous interactions, and make decision-making choices. In contrast to basic reflex agents, they are able to cope with changing environments by examining prior conversations, guaranteeing more customized and context-oriented responses.

• How They Work: They process the current input and refer to the stored knowledge of previous interactions to make educated decisions.
• Where They Are Used: intelligent AI agent, self-driving robot, driverless cars.
• Functionality: These agents are better in making adaptive decisions, and therefore, they are the best for memory and learning tasks.
• Example: Customer service chatbots powered by AI that remember previous conversations to give context-aware answers.

3. Goal-Based Agents

The goal-based agents take AI a step forward by defining and analyzing various tasks to meet them. They apply planning strategies and search algorithms to decide the most appropriate action.

• How They Work: They evaluate many possibilities, determine the results, and choose the best way to reach their goal.
• Where They Are Used: autonomous vehicles, financial market prediction, strategic sports AI.
• Functionality: Objective-operated agents improve decision making through emphasis on long-term goals rather than short-term responses.
• Example: Analyzing real-time traffic information to conspiracy to conspiracy for self-driving cars such as Tesla autopilot, safe routes.

4. Utility-Based Agents

Utility-based agents are beyond the target determination by evaluating various results and providing a value to each. These intelligent agents in AI consider factors such as risks, costs and user preferences to determine the most efficient action.

• How They Work: These agents assess many possible results and choose the action that maximizes the overall profit by balanced the business.
• Where They Are Used: AI-Personal Assistant, Health Services Diagnosis System, Financial Decision Making.
• Functionality: Utility-based agents optimize decision making by choosing the best possible results rather than achieving only one goal.
• Example: Virtual assistants such as Google assistants and Siri, which provide personal recommendations based on user behavior and preferences.

5. Learning Agents

Learning agents continuously improve their decisions by applying machine learning. They learn from experience, change strategies through experiment, and increase performance on previous experiences.

• How They Work: These agents inspect patterns, learn from data, and modify their reactions to be better over time.
• Where They Are Used: Customized suggestions, identification of cyber security danger, prevention of fraud.
• Functionality: Increasing intelligence over time makes the learning agents the best to use in cases that require non-stop adaptation and adaptation.
• Example: Personalization software such as Amazon and Netflix that recommend products or content according to user activities.

Benefits of AI Agents

AI agents are bringing a revolution in industries by automating and streamlining processes and making better decisions. Their ability to work independently, learning from experience and user interactions, makes them an asset for individuals and businesses. Some of the major benefits of are as follows:

• Automation of Repetitive Tasks
  AI agents do repetitive and regular functions at high speed and accuracy, eliminates manual labor and enable employees to focus on high-value activities.
• Enhanced Decision-Making
  AI agents process large amounts of information and provide actionable intelligence, allowing businesses to make more accurate decisions based on data.
• Improved Customer Experience
  Through insights into user behavior and preferences, intelligent systems offer customized interactions, resulting in enhanced customer engagement and satisfaction.
• Cost Savings and Operational Efficiency
  AI agent’s lower operational costs by streamlining processes, reducing errors, and improving efficiency in various industries.
• 24/7 Availability and Scalability
  Unlike human employees, agents can work round the clock, which can ensure uninterrupted service and efficient operation.

Challenges for AI Agents

While AI agents provide many benefits, they also face challenges that affect their effectiveness, deployment and long -term success. These challenges arise from technical, moral and operating limitations, which businesses must address to maximize AI’s ability.

1. Data Quality and Availability

AI agents rely on vast amounts of high-quality data to act accurately. Incomplete, biased, or older data can cause incorrect decisions and incredible results.

2. Ethical and Bias Concerns

AI agents can inherit the prejudices present in their training data which can lead to inappropriate or biased decisions. Addressing prejudice and ensuring moral AI use is a major challenge for businesses and developers.

3. Security and Privacy Risks

AI agents often process sensitive users and commercial data, making them an easy target for cyber hazards. Ensuring data privacy and securing the AI model against adverse attacks is important for safe deployment.

4. Interpretability and Transparency

Many AI models, especially deep learning-based agents, function as “black boxes”, making it difficult to understand how they derive a particular conclusion. This lack of transparency can reduce confidence and obstruct regulatory compliance.

5. Dependence on Human Oversight

Despite their autonomy, AI agents still require human monitoring and intervention to handle unexpected scenarios, errors, or ethical dilemmas. Finding the right balance between automation and human oversight remains a challenge.

Conclusion

AI agents are changing industries, but their increasing effect comes with risks. While business takes advantage of AI for automation and decision making, challenges such as data security and moral concerns should be addressed. The Dark Web has already seen AI-powered cyber threats, from deepfake scams to automatic hacking, proving that these technologies can be exploited.

The attention should not be on how to make the AI stronger but how to ensure that it’s deployed responsibly. Security, fairness, and transparency must guide the development of AI so that it’s not used incorrectly. Those organizations that find the right balance between risk avoidance and innovation will define the future of AI in a responsible way. The true question isn’t if AI agents will reshape industries, but whether we are ready to steer this change in the right direction—maximizing benefits while mitigating threats.

The post The Rise of AI Agents: From Simple Automation to Intelligent Decision-Makers appeared first on Tech Research Online.

Executive Roundtable

Capital Grille Chicago

The Capital Grille, 633 N Saint Clair St, Chicago, IL 60611

April 30, 2025

5:30 PM – 8:30 PM

Join us for an evening of engaging discussion and fine dining at the Capital Grille Chicago. This exclusive event brings industry leaders together to dive into how AI is helping organizations to address crucial topics in IT asset management and Security while enjoying a memorable dining experience.

AI-Powered Asset Discovery: Are You Sure You Know What Is On Your Network?

You’ve mastered managing and securing the assets you can see—but what about the assets you can’t? This session will explore how customers are leveraging a unique combination of Credential-less Discovery and GenAI to uncover previously unknown assets. Learn how this approach has resulted in significant cost savings and improved security.

Walk away with actionable insights on how you can leverage AI to gain unprecedented visibility, enhance operational efficiency, and secure a competitive advantage.

What You’ll Gain:

• Key strategies for uncovering hidden assets in your network
• Insights into using AI to improve security and cost efficiency
• Knowledge on how to boost operational performance and achieve better asset management

Register Now

Don’t miss out on this exclusive opportunity! Reserve your seat today for an unforgettable evening of discussion, networking, and fine dining.

Speaker

Tricia Gilbert

Head of ServiceNow Practice Americas, Fujitsu

Secure your seat

Secure your seat

[contact-form-7]

The post Executive Roundtable appeared first on Tech Research Online.

WEBINAR

AI Strategies: How Siemens is Transforming Global IT Support with Agentic Automation

Wednesday, March 12, 2025

9am – 10am PT / 12pm – 1pm ET / 6pm-7pm CET

Managing IT support for over 250K employees across 190+ countries is a massive challenge.

Instead of just keeping up, Siemens AG is challenging its IT support model with strategic AI deployments — making it faster, smarter, and more proactive.

Join us for an exclusive webinar with Pavithra Babu, Head of IT Automation Excellence at Siemens, as she shares how her team is leveraging AI to:

• Reduce ticket volume and enhance self-service
• Unify IT support across business units and legacy systems
• Automate multilingual support to streamline employee experience globally
• Shift from ticket resolution to proactive problem-solving

Get insights from Siemens’ automation journey and discover strategies you can apply to your own organization to streamline IT support, boost employee experience, or scale AI-driven automation.

Don’t miss out — register now!

Speakers:

Pavithra Babu

Head of IT Automation Excellence
Siemens

Register Now

Register Now

[contact-form-7]

About Us

At Moveworks, we are dedicated to enhancing the employee experience with cutting-edge AI technology. Founded in 2016, our mission is to empower every team member by providing a single platform where they can easily access information, take action, and automate tasks across all enterprise systems. By streamlining processes and enabling support teams to focus on high-impact work, we strive to create a more efficient, productive, and seamless work environment for all.

The post AI Strategies: How Siemens is Transforming Global IT Support with Agentic Automation appeared first on Tech Research Online.

WEBINAR

How Toyota Uses AI to Boost Productivity and Cut MTTR

Wednesday, March 26, 2025

9am – 10am PT / 12pm – 1pm ET / 6pm-7pm CET

Operational downtime and employee support inefficiencies can cost companies millions, and many organizations struggle to find a scalable solution. Traditional support desks frustrate employees who don’t know where to turn for help or find themselves in long queues awaiting resolution.

Join Shrini Arole, Sr. Manager of Global Productivity, Service Management, and Automation at Toyota to learn how his team overcame these challenges by implementing AgentAsk, an AI-powered virtual agent that measurably transformed their IT support landscape and employee experience. Gain insight into their successful strategies, adoption practices, and real-world outcomes.

Join our webinar to:

• Learn actionable strategies for driving AI adoption and scaling support systems
• See how toyota reduced MTTR from days to minutes
• Understand the challenges faced and lessons learned directly from Toyota’s AI journey
• Get a sneak peek at how Toyota plans to further integrate AI to support diverse departments and factory workers

Reserve your spot now to learn how to accelerate your organization’s productivity with AI-powered solutions.

Speakers:

Shrini Arole

Sr. Manager
Global Productivity, Automation & Service Management

Toyota

Register Now

Register Now

[contact-form-7]

About Us

At Moveworks, we are dedicated to enhancing the employee experience with cutting-edge AI technology. Founded in 2016, our mission is to empower every team member by providing a single platform where they can easily access information, take action, and automate tasks across all enterprise systems. By streamlining processes and enabling support teams to focus on high-impact work, we strive to create a more efficient, productive, and seamless work environment for all.

The post Webinar How Toyota Uses AI to Boost Productivity and Cut MTTR appeared first on Tech Research Online.

WEBINAR

Driving Productivity at Ciena with AI

Wednesday, February 26, 2025

9am – 10am PT / 12pm – 1pm ET / 6pm-7pm CET

Today, companies must find new ways to drive productivity and employee satisfaction. Ciena, a company that is a pioneer in networking and technology, has found a special way to do this using AI.

Join this webinar to explore how Lalit Kumar, who works on AI ideations and implementations at Ciena, uses AI to make work easier for their employees. Learn how the team built over 100 custom use cases using Moveworks’ Creator Studio to expand AI capabilities across the organization, enhancing employee satisfaction and productivity.

In this webinar you’ll learn:

• How Ciena implemented AI solutions to help employees address work-specific challenges efficiently.
• How Ciena developed specialized AI programs to streamline tasks and make work easier, such as approving requests and managing time-off processes.
• The tactics Ciena took to gain feedback from employees to understand their needs and improve their AI programs.
• The steps taken by Ciena to gain leadership support for AI and ensured everyone in the company understood how to use it effectively.

This webinar is perfect for anyone looking to discover how AI can simplify work and drive efficiency in their organization. Gain valuable insights and actionable tips to enhance your role and elevate productivity. Don’t miss this opportunity—register now!

Speakers:

Lalit Kumar

Senior Analyst

Ciena

Register Now

Register Now

[contact-form-7]

About Us

At Moveworks, we are dedicated to enhancing the employee experience with cutting-edge AI technology. Founded in 2016, our mission is to empower every team member by providing a single platform where they can easily access information, take action, and automate tasks across all enterprise systems. By streamlining processes and enabling support teams to focus on high-impact work, we strive to create a more efficient, productive, and seamless work environment for all.

The post Webinar Driving Productivity at Ciena with AI appeared first on Tech Research Online.

According to Automotive Logistics, the car manufacturer also said that it will use the Nvidia Isaac robot platform for the development and deployment of their robots. This collaboration aims to boost Hyundai’s factory automation, combining innovative technology to enhance efficiency and streamline operations.

Hyundai and Nvidia will also be partnering to create virtual simulation environments for the development of safe and reliable autonomous driving technology and robotics systems. Rishi Dhall, the Vice President of automotive at Nvidia said, “Accelerated computing, generative AI, and Omniverse are unlocking a new era of mobility,” said Rishi Dhall, vice-president of automotive at Nvidia. “This partnership will drive the creation of safer, more intelligent vehicles, supercharge manufacturing with greater efficiency and quality, and deploy cutting-edge robotics to help build a smarter, more connected digital workplace.”

Hyundai’s Leap Toward Smart Manufacturing

Though the car manufacturer has been making a constant progression towards an advanced manufacturing system, this partnership is a huge step forward. Hyundai aims to boost factory automation by using Nvidia’s advanced and innovative AI and machine learning platforms. This decision has been made with the Hyundai Motor Company’s long-term vision of adopting Industry 4.0 solutions as a way to adapt to market trends in mind.

The foundation of the partnership is Nvidia’s Omniverse – a real-time simulation and collaboration platform. Hyundai Motor is going to employ this technology to build virtual replicas of its manufacturing plants design the layout of production lines, optimize the processes, and monitor such aspects as probable disruptions, without affecting the production cycle.

The Competitive Edge

While Hyundai is dominant in the auto sector, Nvidia brings unmatched strength in AI and data-driven technologies. The Hyundai-Nvidia partnership will be a harmonious relationship with each firm focusing on its relative strengths to gain a common outcome.

Hyundai and Nvidia may sound like competitors in some technological space, but it’s a beautiful example of how industries can collaborate to drive innovation. For Nvidia, this will be an opportunity to demonstrate their technology capability in one of the high-stakes real-world applications. For Hyundai, it will become an opportunity to consolidate its lead in automated manufacturing.

The Hyundai-Nvidia partnership signifies a growing trend where automakers come together with tech providers to stay ahead of the competition. This partnership is expected to start the trend of similar collaborations across industries for better adaptability of AI in automation.

A Vision for the Future

This is already a possible future as Hyundai is advancing the level of factory automation with the help of cooperation with Nvidia, a tech provider. This partnership not only improves Hyundai’s production capacities but also becomes the pioneer in the creation of new approaches toward improving the industry’s cooperation and using AI and simulation tools.

Their cooperation is evidence that companies of different industries can adopt the role of technology as a way to create operational efficiencies and palpable, sustainable development. Thus, the innovative strategy of Hyundai guarantees that the company continues to be relevant in the context of the constant development of smart manufacturing.

The post Hyundai Partners with Nvidia to Boost Factory Automation appeared first on Tech Research Online.

Speed Automotive Software Delivery with Arm64 Development and Microsoft SDV Toolchain

Theresa Nguyen

Equinix Business Development Director
Platform Alliances | Microsoft

Filipe Prezado

Microsoft Principal Program Manager
Microsoft SDV & Mobility

Joe Speed

Ampere Head of Edge
Vehicles, Robots, IoT, 5G, and Space

About Equinix

Equinix is the world’s digital infrastructure company. We interconnect industry-leading organizations such as finance, manufacturing, retail, transportation, government, healthcare and education across a digital-first world. Business leaders harness our trusted global platform to bring together and interconnect the foundational infrastructure that powers their success—sustainably and securely.   

The post Speed Automotive Software Delivery with Arm64 Development and Microsoft SDV Toolchain  appeared first on Tech Research Online.

The post Speed Automotive Software Development with arm64 & Microsoft SDV Toolchain appeared first on Tech Research Online.

Speed Automotive Software Delivery with Arm64 Development and Microsoft SDV Toolchain

Theresa Nguyen

Equinix Business Development Director
Platform Alliances | Microsoft

Filipe Prezado

Microsoft Principal Program Manager
Microsoft SDV & Mobility

Joe Speed

Ampere Head of Edge
Vehicles, Robots, IoT, 5G, and Space

About Equinix

Equinix is the world’s digital infrastructure company. We interconnect industry-leading organizations such as finance, manufacturing, retail, transportation, government, healthcare and education across a digital-first world. Business leaders harness our trusted global platform to bring together and interconnect the foundational infrastructure that powers their success—sustainably and securely. 

The post Speed Automotive Software Delivery with Arm64 Development and Microsoft SDV Toolchain  appeared first on Tech Research Online.

Tesla’s Europe plan is currently awaiting regulator approval. In July this year, Elon Musk said regulators were likely to approve Tesla’s Full Self-Driving software by the end of this year.

Cybercab Launch

Tesla’s share spike comes just a month to the launch of the company’s robotaxis- cybercab. The robotaxis will be powered by Tesla’s driver assistance software that enables drivers to brake, steer, and accelerate on highways and across cities with human supervision.

On Thursday, Musk said Tesla’s FSD technology could be unveiled in right-hand drive countries next year towards the end of quarter one or early quarter two. This implies right-hand markets in China and Europe, which could mean Hong Kong, the UK, and Macau.

The automaker also announced that its FSD technology and Autopark capability will be available for Cyber Trucks this month. In October, Tesla said it would be adding the reverse, park, and unpark functions to FSD.

To access the FSD software, Tesla owners have to pay to unlock semi-autonomous driver assistance capabilities. US buyers can purchase the software for $8000 or pay a monthly subscription fee of $99 to access the supervised version.

FSD Tests

In April, Chinese authorities tentatively approved the launch of Tesla’s Full Self-Driving technology in the country. In June, the company tested its FSD technology in Shanghai, China with 10 vehicles. These tests paved the way for the EV maker to roll out the technology in China where it faces stiff competition from local EV manufacturers. Tesla has a mega factory in Shanghai.

It’s still not clear where the EV maker currently stands with regulators in the European Union.

Even so, the EU reduced tariffs on Tesla EVs imported from China by more than 50% last month. This move gives Tesla a competitive advantage over rival EV makers and boosts future sales in the region.

Investor Caution

As Tesla works to take self-driving to Europe, Wall Street is acting with caution regarding self-driving technologies due to the tough regulatory environment. However, investors expect that potentially, a Trump administration may fast track the regulatory process within the US.

“This may be easier in China, given that it’s joined forces with the Chinese search giant Baidu to use its navigation system. It looks set to be a longer process for approval in Europe,” Susannah Streeter, an Analyst at Hargreaves Lansdown said.

Previously, Musk’s aggressive deadlines have caused apprehension among analysts and investors, particularly after Tesla missed various targets for FSD and the Cyber Truck.

The post Tesla’s Full Self Driving Plans Boost Share Value appeared first on Tech Research Online.