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Agentic AI: transforming analytics, governance, and data trust, automating workflows, ensuring compliance, and enhancing decision-making efficiency.
AI as a Service for Simulations on Web Assembly to provide a standard high-performance and machine-independent byte code.
AI solutions for low-power edge devices enhance performance and efficiency while minimizing energy consumption for smart applications.
Explore edge ai for personalization and recommendations, delivering real-time, tailored experiences by optimizing data processing and decision-making.
Enhance robustness and reliability in Edge AI systems with advanced solutions to optimize performance and efficiency.
Explore how Edge AI is reshaping agriculture by enhancing productivity, sustainability, and real-time decision-making in farming.
Edge AI for autonomous vehicles enhances real-time decision-making, optimizing safety, navigation, and operational efficiency in vehicles.
Discover how Edge AI is shaping the future of retail operations by enhancing efficiency, automation, and customer experience.
AI-powered predictive maintenance for cloud operations minimizes downtime and optimizes performance through advanced analytics.
Discover how agentic analytics augments data analytics workflow and drives smarter, automated insights for decision intelligence.
How Edge AI is powering the future of smart cities?
Discover essential insights into self-supervised learning for computer vision, exploring techniques, applications, and future trends in AI.
Innovating it asset management with amazon q enables smarter, efficient tracking, and automation of IT assets life cycle.
Transforming IT operations management with amazon q through automation, efficiency, and improved decision-making processes.
Discover how Now assist with generative ai capabilities driving knowledge management for efficiency and informed decision-making in organizations.
Discover now assist customizes responses according to user contexts for enhanced customer experience.
How Generative ai making Web3 decentralized applications more accessible and user friendly with Ai agents and collaborative intelligence
ServiceNow AI Agents for strategic portfolio management for strategic portfolio management, enhancing visibility across your project portfolio.
ServiceNow AI Agents for Customer Service Management enhance workflow automation and operations and improve customer satisfaction with AI-driven ...
ServiceNow AI Agents for ITIL aligning AI support with best practices for enhanced IT service management.
Exploring the intersection of Data Privacy with Agentic AI, focusing on how autonomous agents impact data handling and security
Explore how Tickets to Conversations: ServiceNow AI Agents on User Experience support with AI-driven interactions, boosting efficiency and customer ...
ServiceNow AI Agents For IT Business Management business outcomes and align work to business priorities
Environmental Monitoring with AI-driven edge Analytics enhances data collection, real-time analysis, decision making for sustainable ecosystem ...
Edge AI in Applications and Security enhances real-time data processing, improves decision-making, and strengthens security measures.
Explore the advancements in biomedical image analysis and diagnostics, focusing on AI techniques for enhanced accuracy and efficiency.
Explore retail surveillance using Edge AI to enhance security, detect suspicious activities, and optimize operations in real-time.
ServiceNow AI Agents in IT Asset Management to automate discovery, optimize lifecycles, ensure compliance, and enhance asset tracking
Explore the role of Edge AI and AI agents in the Automotive industry: enhancing real-time processing, safety, and autonomous driving capabilities ...
Explore 8 real-time AI applications across industries, from fraud detection and personalized marketing to predictive maintenance and healthcare
Real-Time Video Streaming Applications for users to transmit and receive video data in near real-time over the internet
Building Real-Time Store Monitoring platform to Analyse customer preferences and buying patterns. Enabling better Retail in-store Analytics.
Explore retail loss prevention with Generative AI by detecting anomalies, enhancing security, and preventing fraud
Real Time Analytics Architecture and its Designs for real-time insights that help businesses respond to changing market conditions quickly.
Explore real-time Computer Vision on Edge, driving smarter solutions and innovations across industries
Conversational exchanges (AI) strategies for optimizing dialogue systems and leveraging AI for improved communication efficiency
Discover key Vision Analytics Challenges and its Use Cases. Uncover solutions and strategies to enhance your visual data analysis and decision-making
Generative AI Code Assistants provide assistance in identifying error, streamlining the debugging process, improving the efficiency of developers
Transform Contact Centers with Chatbots by enhancing customer experiences, improving efficiency, and boosting satisfaction and loyalty
ServiceNow AI Agents for Autonomous Security Operations for proactive threat detection real-time incident response, and optimized security workflows
Streamline your support processes with autonomous incident resolution with ServiceNow AI Agents for faster, smarter issue resolution
Explore the differences between Now Assist vs traditional chatbots, highlighting features, benefits, and the impact on automation.
Gen AI Healthcare: securing data integrity with amazon q, is revolutionizing the medical field by ensuring data integrity.
An AI Co-Pilot in software development acts as a strategic ally, leveraging advanced AI technologies to optimize various aspects of the development ...
Copilot offers significant benefits for database management, making it an indispensable tool for database administrators and developers alike
Sovereign AI refers to a nation’s capabilities to produce artificial intelligence using its own infrastructure, data, workforce and business networks
Discover the rise of Autonomous Operations and its impact on efficiency, innovation, and transformation across various industries.
Contact centres are important as they improve customer experiences like prompt issue resolution where contact centres ensure customer issues are ...
The forthcoming generation of AI is set to transform the supply chain industry further, making it more agile, efficient, and responsive to rapid ...
LLMs are neural networks with billions of parameters trained on vast amounts of text data, allowing them to understand, process, and generate ...
To effectively manage a dangerous AI system, it is crucial to understand the factors that led to its dangerous state
Improve incident response with AI-driven SOAR platforms, automating security operations for faster threat detection and mitigation.
APA , Agentic Process automation that leverages machine learning-based agents, to create intelligent workflows based on human guidance
Generative AI in healthcare offers transformative potential but faces significant challenges and ethical considerations. Ensuring accuracy, ...
A sustainable food system must ensure that everyone has access to safe, healthy, and nutritious food produced in a way that protects the environment ...
Agentic AI and agents transform tabular data into actionable insights through automation, analysis, and visualization.
In the era of AI, the importance of data annotation for training machine learning models cannot be overstated. Yet, traditional methods of data ...
The AgriTech industry represents a dynamic and rapidly evolving sector that is revolutionizing traditional farming practices through the integration ...
Smart irrigation systems represent a significant leap forward in sustainable water management practices. By integrating cutting-edge technology such ...
Knowledge graphs play a crucial role in enhancing the capabilities of language models by contributing significantly to semantic understanding.
GraphLLM stands at the forefront of a new era in AI, one where the complex world of graph data becomes as accessible and understandable as text. Its ...
AI Insurance Industry helps to get deep insights aiming to work more productively and efficiently to become more innovative.
Enabling Explainable AI in Auto Insurance Claim Prediction to improve customer satisfaction, and protecting companies from fraudulent Insurance ...
Discover how streamlining human resources processes and workflows with agentic AI enhances efficiency and reduces manual HR tasks.
Experience the future of shopping with Autonomous Shopping with AI-driven experiences for personalized recommendations and effortless transactions.
Optimize efficiency and reliability in biopharmaceutical supply chains with advanced management strategies and cutting-edge technologies
LLMs can significantly benefit the manufacturing sector by optimizing processes, improving product quality and ensuring compliance with regulations.
Customer Intelligence AI driven platform and solutions with use-cases and challenges to analyze customer data in retail to make data-informed ...
IoT Edge Analytics implementations with the latest trends in edge computing along with Industrial benefits and Use-cases.
AI TRiSM a framework to supports and enables AI Model governance, reliability, fairness, efficacy, privacy, data protection, and trustworthiness.
Recognizing model collapse underscores the importance of conscientious data selection for training AI models
retail automation is about using technology to streamline different processes regarding running stores including marketing, customer relationships, ...
AIOps is an umbrella term for the use of big data analytics, machine learning to automate the identification and resolution of common IT issues.
LLM Observability refers to the concept of observing and evaluating the performance and behavior of Language Model systems and ensuring its ...
Predictive analytics is the process of using data to forecast future outcomes. The process uses data analysis, machine learning, etc.
Robustness is the ability of a model to perform well on new and unseen data. It handle various types of noise, variations and uncertainties in the ...
Compare Cloud Computing vs Edge Computing, exploring differences, benefits, and real-world use cases in modern IT environments.
Large Language Models (LLMs) and Foundation Models for shaping the future of content generation, data analysis, personalized experiences
Prompt engineering is a technique used to enhance large language models (LLMs) by refining their prompts and desired outputs.
Foundation models are machine learning models that undergo training on large and unlabled datasets, so they can execute specific tasks in same domain.
ChatGPT Model Working and Future Applications to revolutionised human-computer interactions to process user prompts and generate human-like responses
Fairness in Machine Learning algorithmic bias for designing safe and responsible AI and ML-based systems for automated decision-making.
Ethical AI in Healthcare Principles enables to avoid unattended consequences to save the patient's life and provide proper data governance.
Importance to the roadmap of an algorithm for the AI system and model explanation in brief, from Data collection to model monitoring using ...
Data-Centric AI Challenges and its Benefits to improve the performance of AI services through augmentation, extrapolation, and interpolation.
IoT Application development for Smart Home Firewall to secure the network and smart devices by monitor the incoming and outgoing traffic.
Edge AI in video analytics and surveillance system enhances real-time monitoring, improves security, and optimizes decision-making at the edge.
Intelligent Enterprise Framework, advantages and its use cases for integration-ready applications to help manage customers, supply chains, and ...
Explore the benefits of transforming ERP systems with RPA implementation and how it improves workflow automation and productivity.
Discover how RPA is revolutionizing the healthcare industry, enhancing efficiency, reducing costs, and improving patient care with automation.
Machine Learning in Healthcare and life sciences working, benefits and its applications to handle patient record and development of medical ...
MLOps roadmap for data scientists and ML engineers to apply DevOps principles to ML systems to deploy, maintain and govern all production models.
Model-Centric AI for creating high-quality machine-learning models using the right machine-learning algorithms, programming languages, and AI ...
Embrace AI in Retail Stores to empower businesses with seamless customer experience, better predictions, actionable insights for decision-making, and ...
Responsible AI in Consumer Enterprises for ethical, transparent, and accountable use of Artificial Intelligence technologies for customer Service.
Enhance enterprise systems with Agentic Process Automation, optimizing operations, boosting efficiency, and enabling smarter decision-making.
Natural Language Processing (NLP) is essential for comprehending and analysing the emotions portrayed in text data from Customer Feedback
IoT in Supply Chain and Retail Management Benefits and its Future Trends for better warehouse operations, and improved inventory accuracy.
Responsible AI Principles and Major Challenges for implementing in businesses for Artificial Intelligence based solutions and Digital Transformation.
Rethinking the Inception Architecture for Computer Vision Best practices and its Future for image classification and other tasks.
Convolutional Neural Network and Use Cases to fully explore the potential of artificial intelligence to process pixel data and image recognition.
Responsible AI for Social Empowerment to build fairness, interoperability, privacy, and security in the system for public safety
Building Transparent and Explainable AI to make AI more transparent and interpretable to humans, particularly in complex decision-making scenarios.
Implementing Explainable AI in Finance and Banking Industry for Enterprises to Improve Customer Retention and enable intelligent decision systems.
Explainable AI in Predictive Maintenance is a proactive technique. Enabling entreprises to predict the anomalies in process and equipment for ...
Implementing Responsible AI in the Manufacturing sector and Artificial Intelligence applications to automate a repetitive tasks in manufacturing.
Responsible AI in government and administration to improve the services and societal tasks that will build the trust of Citizens and Society.
Responsible AI in Financial Services to beat their competitors by helping companies improve their products in a rapidly changing world.
Augmented Analytics in Healthcare Benefits and Use Cases for analyzing large amounts of data to make more informed decisions, and reduce costs.
Walkthrough of the differences between Edge Computing, Fog Computing, and Cloud Computing.
Understanding Ethical AI Challenges, Principles, and how Operation plays a major role in humanity’s development.
Graph Convolutional Neural Networks (GCNNs) essential in handling irregular data structures, making them for recommendation systems.
Distributed Deep Learning model efficiently and successfully trained on big datasets using distributed deep learning
Federated Machine Learning a promising solution to the privacy and security issues raised by using private information in training machine learning ...
Distributed Machine Learning Frameworks, Challenges and Benefits to distribute the computation and communication required to train a machine-learning ...
Learn about feature engineering on real-time machine learning and its role in improving predictive model accuracy.
Real-time Machine Learning for continuously training ML model with live data to quickly adjust to changes in consumer tastes without retraining ...
Edge Computing vs Serverless Computing for better data distribution between computing infrastructure and edge devices.
Hyperautomation Use Cases and Future Trends for combining AI, machine learning, and software to create a perfect data network architecture.
Artificial Intelligence in Construction Industry to automate various men operated task, complete it on time and also reduce the accident rate in ...
Best Edge Computing Platforms for 2025 to Reduce the lag time in Processing and the amount of Data Stored and Transmitted in the cloud.
AWS IoT Greengrass to address the challenges of managing and processing the substantial amounts of data generated by IoT devices
AIOps vs MLOps for the development and deployment of AI and machine learning systems throughout the entire life cycle
Enterprise Manufacturing Intelligence Use Cases and its best tools for intelligent decision-making in businesses.
Enterprise AI Chatbot Platform, Features, Use cases and Solutions to improve customer service, automate repetitive tasks, and increase productivity.
Conversational AI benefits, and its use cases, like chatbots, to minimize the amount of time and effort required for time-consuming tasks by humans.
Business Intelligence in ERP (Enterprise Resources Planning) to gain more comprehensive view of operations and have insights into their data and ...
Agentic AI in Edge Computing enables real-time decisions, reduced latency, and intelligent processing at the network’s edge.
Businesses adapting video surveillance for the workplace to make organisations more productive and safe using AI-based computer vision applications.
Edge Computing for Video Analytics for analysis in real-time with low latency to use in several applications like traffic, retail and quality ...
Intelligent Edge Types, Benefits and Use Cases to transform a wide range of industries, enabling faster, more efficient, and more secure data ...
Data Preparation Roadmap to get biased free data for a fair result and optimum output from a system that needs a big data amount.
Business Intelligence in Healthcare Industry to transform raw data into meaningful information that drives useful business action.
AI is helping organization, governments, and industries by monitoring places and tracking the people who are not following the rules.
Centric AI Challenges and Applications for industry 4.0 to grow in 2023 and empower organisational activities with automation.
Human-centered Artificial Intelligence involves the design and deployment of systems that can learn and collaborate with humans for designing AI ...
IoT Application Development for Automative and Automobile industry to have access to the car from the pocket and can manage vehicle the with app.
Model Operator for monitoring, managing and supervising AI systems in production along with its Latest Trends and benefits in the market for ...
Supply Chain Analytics turns data into digestible reports and visualizations to improve operational efficiency at strategic and operational levels.
Data Veracity and its Tools for better comprehension of data, with higher accuracy or truthfulness of a data set, which is dependent on certain ...
Automation Anywhere is a powerful RPA Tool for Automation, get to know about it all the features that could be helpful for your organization.
Automation Optimization Processes, tools and its services to improve the efficiency and reducing the manual work of an organization's processes
Explore the significance of ModeOps monitoring, ensuring model performance, efficiency, and compliance in machine learning workflows
Explore Agentic Process Automation in insurance to streamline operations, enhance efficiency, and improve decision-making processes.
Build intelligent chatbots with Agentic AI to automate interactions, enhance decision-making, and optimize business operations efficiently.
From DevOps to EdgeOps platform for Edge computing and developing, testing, and delivering Edge applications and services.
Federated Learning for user-specific Personalized Recommendations challenges, solutions, and its benefits for selected product suggestions for each ...
Intelligent Process Automation (IPA) vs Robotic Process Automation (RPA): Complete overview of Challenges, Benefits, and Future use-case
Introduction to Microsoft Power Automate Automation no longer constitutes a moonshot. Survival in our ever more technology-driven market world is ...
Insight Agent simplifies enterprise intelligence by seamlessly connecting systems to deliver real-time, actionable insights for smarter decisions.
Learn how multimodal agents powered by Databricks revolutionize agentic AI by enabling seamless cross-modal learning and intelligent data processing.
Agentic workflows with semantic kernel on azure enable AI-driven automation, enhancing decision-making and adaptability in enterprise solutions.
Unlock the full potential of multimodal AI solutions with Snowflake’s advanced architecture, seamless data integration, and intelligent analytics.
Discover how Agentic AI in robotics drives intelligent automation, enabling robots to adapt, learn, and make autonomous decisions.
Compliance as a competitive edge: A 3-Step integration playbook to enhance trust, efficiency, and market positioning through strategic compliance.
The transformative impact of ai and emergingtechnologies on the world of finance and banking
6 min | Dr. Jagreet Kaur
Comprehensive approach combines cost forecasting, resource optimization, and financial accountability
4 min | Dr. Jagreet Kaur
Unleashing data agents empowers real-time insights, driving smarter decisions and transforming business operations effectively
5 min | Dr. Jagreet Kaur
