How Grid Edge Computing Is Revolutionizing Real-Time Power Management

The solution simplifies workflows from customer onboarding and loan processing to claims administration, inventory management, etc. ABBYY FlexiCapture and ABBYY Vantage combine OCR, Intelligent Character Recognition (ICR), and ML to extract and validate structured and unstructured data. The platform supports real-time capture, advanced classification, and automatic learning to enable quick deployment and continuous improvement through user interactions. It also integrates with applications like Robotic Process Automation (RPA) and Business Process Management (BPM) systems.

Revolutionizing cloud security with AI

By integrating intelligent automation, companies can create a hybrid security model that optimizes human resources while leveraging advanced analytics, machine learning, and autonomous surveillance. New roles like “AI Agent Architects,” “Prompt Engineers,” and “Cognitive System Managers” are emerging. The focus shifts from report building to orchestrating intelligent data ecosystems, fostering a human-AI collaboration model that has demonstrated significant productivity improvements. This level of AI agent capability represents a fundamental departure from even advanced traditional BI and analytics platforms.

Technology Solutions That Drive Business

We have the chance to gain some ground on the coming AI train, and it’s an opportunity that rarely comes around twice. Most of us have a limited window to focus on weaponizing AI for cloud security by using one, two, or all of the concepts I’ve mentioned. ‘Most organizations don’t have their data in a state that’s ready for AI to deliver accurate insight,’ says Asher Lohman, vice president of data and analytics at Trace3. Choose stable, innovative AI providers and negotiate flexible contracts to adapt to market changes. Build AI literacy and promote a culture of continuous learning in your workforce to foster innovation and adaptability. IT leaders also need to add some accountability to the decision-making process, some oversight to prevent harmful actions resulting from incorrect reasoning or biased data.

• This capacity to adapt and respond dynamically to threats shifts security paradigms from reactive to proactive.
• At the age of 24, Steve founded one of California’s leading security integration companies, which he later sold for $42 million.
• For instance, if an AI system detects an unusual log-in attempt from a different geographical location, it could automatically impose additional verification steps or block access altogether.
• AI tools can streamline processes, reduce reliance on manual labor and increase transparency, making legal services more accessible and efficient.

According to LegalDive, “nearly two-thirds (64%) of business leaders plan to use M&A to bolster their AI capabilities within the next 12 months, with this figure rising to 70% over the next three years.” This process of executing tasks and self-correcting is crucial for refining systems and ensuring they meet organizational needs. Organizations should also be sure that knowledge bases — such as policies, procedures and training materials — are accurate and up to date. “Strong governance and robust data protection measures are critical to mitigating these risks,” he says. Sukumar says that AI agents can streamline health insurance navigation and appointment scheduling. “From checking coverage to booking appointments, these systems can eliminate the frustration of lengthy customer service calls,” he explains.

Smart MRO: Using Technology and Assessment to Enhance Power Plant Performance

The results of AI can be found in optimizing resource utilization and allowing organizations to quickly handle large document volumes accurately. In addition, AI provides timely and accurate information by extracting valuable insights from documents and automating tasks such as trend identification. The data extraction also speeds up decision-making, reduces errors, and allows organizations to predict market shifts and navigate upcoming regulatory requirements.

For example, the legal sector can rapidly analyze documents to provide relevant case information, improving efficiency and client service. In real estate, AI streamlines the management of property listings and transactions by automatically organizing data from contracts and financial statements. It can analyze and verify large volumes of documents related to property history, zoning regulations, and compliance records. In addition, AI can identify market trends and provide insights by analyzing reports and economic data. AI speeds up and smooths time-consuming processes like document analysis (zero-based learning) and information retrieval (quickly search your ‘dark’ unstructured content).

Mainframe data: A powerful source for AI insights

While AI and robotics are transforming security operations, the role of human security professionals remains critical. The best security personnel are not being replaced; they are evolving into higher-value roles focusing on managing, deploying, and optimizing these advanced technologies. Those with deep industry knowledge and expertise in situational assessment will lead to the integration of automation, ensuring that AI enhances rather than diminishes the effectiveness of security programs. The future of security belongs to automation and those who understand how to harness it strategically. These advanced AI agents leverage natural language processing and real-time data analysis to autonomously assess situations, engage with individuals, and provide actionable intelligence.

Robots strive to overcome misconceptions, cultural challenges in security

Customer loads could actively participate in grid balancing through transactive energy systems and automated control mechanisms that respond to grid needs while respecting customer preferences. Edge computing systems in grid environments must meet several critical technical requirements. Protection functions require response times of 4-16 milliseconds to prevent costly equipment damage during fault conditions. Similarly, power quality correction functions, like dynamic volt/VAR control, need sub-cycle responses (under 16.7ms at 60Hz) to maintain stability. Additionally, deterministic computing provides guaranteed response times regardless of system load, unlike general-purpose systems.

This shift is fueling an unprecedented wave of consolidation and innovation, creating a new class of “AI-powered law firms” that leverage technology to maintain competitive margins while rapidly expanding their capabilities. Rosenberg warns of scenarios where AI agents make erroneous decisions, such as issuing unwarranted refunds or executing unauthorized transactions. As malicious actors exploit AI systems to manipulate data or disrupt operation, IT teams also face heightened security risks. Machine learning models identify sensitive data across dispersed cloud environments and enforce policies that prevent unauthorized data sharing or leaks. By continuously learning data usage patterns, AI can intelligently flag potential data breaches before they occur. AI models can enforce privacy policies by monitoring data access while ensuring compliance with regulations such as the General Data Protection Regulation in the U.K., or the California Consumer Privacy Act.

His pioneering work in integrating advanced AI and neuromorphic computing into data architectures has positioned him as a sought-after expert and keynote speaker. His recent recognition with the 2025 Amity Business Excellence Award at the Springer International Conference on Emerging Technology Trends in Engineering and Management (ICETTEM 2025) underscores his significant contributions to the field. His innovative approaches are transforming how organizations leverage data for strategic advantage. For many utilities, their System Average Interruption Duration Index (SAIDI) score has not improved despite significant Capex investments in recent years. Grid edge intelligence has the potential to significantly improve the performance while reducing Operations & Maintenance (O&M) cost by pinpointing outage locations and reducing call center volume.