Chad Wilson - CybAI news

02 Nov

Automated data storage transforms data management with AI – SiliconANGLE

stp2y0 CommentsChat-GPTAutomated data storage meets AI demands in a transformative push for resilience, Chad Wilson, SiliconANGLE

Automated data storage is transforming how organizations handle exponential data growth, driven by advancements in artificial intelligence that challenge traditional storage capabilities. As the speed of innovation surges, the need for storage systems that are not only fast but self-managing, secure and resilient has become crucial. These intelligent platforms integrate automation, streamline management and strengthen security to meet complex infrastructure demands without adding operational strain. This shift underscores a new era in automated data storage — one focused on adaptive systems that ensure data accessibility and protection while supporting seamless growth in today’s rapidly evolving digital landscape, according to Jodey…

28 Oct

Agentic automation drives enterprise AI and robotics orchestration – SiliconANGLE

stp2y0 CommentsChat-GPTChad Wilson, SiliconANGLE, The next phase of AI: Orchestrating agents and robots to streamline enterprise workflows

Agentic automation is rapidly reshaping the future of enterprise workflows as organizations seek more advanced ways to integrate artificial intelligence and robotics into their operations. Moving beyond single-agent systems, which are often seen as limited and rudimentary, the focus is shifting toward orchestrating multiple agents, robots and AI models to create seamless, intelligent ecosystems, according to Dave Vellante (pictured, left), chief analyst at theCUBE Research. As enterprises begin to explore secure governance models for these technologies, they are preparing for a future where AI-driven systems eliminate friction between humans and technology, promising more efficient and scalable operations across industries. TheCUBE…

28 Oct

AI workforce automation reshaping industries with innovation and efficiency – SiliconANGLE

stp2y0 CommentsChat-GPTAI workforce automation: Balancing innovation with workforce challenges, Chad Wilson, SiliconANGLE

Artificial intelligence is at the forefront of shaking up industries, with AI workforce automation poised to transform how businesses operate. While the promise of increased efficiency and innovation is clear, the challenges that come with integrating these technologies — such as ensuring governance, security and minimizing workforce disruptions — are just as significant, according to Craig Le Clair (pictured, right), vice president and principal analyst at Forrester Research Inc. As AI becomes more central to mission-critical tasks, companies are focusing on how to build robust automation systems that are resilient, reliable and trusted. This balance between advancing technology and addressing…

28 Oct

Intelligent automation drives efficiency and innovation in business operations – SiliconANGLE

stp2y0 CommentsChat-GPTChad Wilson, How intelligent automation is helping companies do more with less, SiliconANGLE

Intelligent automation is quickly becoming a game-changer for businesses looking to stay competitive in an increasingly digital landscape. From streamlining repetitive tasks to enhancing accuracy across complex processes, this technology is revolutionizing operations by allowing organizations to optimize resources and improve efficiency, according to Vivek Sinha (left), global head of sales — AI and automation — Topaz, at Infosys Ltd. The integration of AI-driven solutions, such as self-healing robots and agentic AI, is empowering companies to do more with less, reducing manual errors and accelerating workflows. As businesses seek higher returns on investment, intelligent automation is setting the stage for a…

27 Oct

Process intelligence driving efficiency and business value – SiliconANGLE

stp2y0 CommentsChat-GPTChad Wilson, Digital transformation unleashed: theCUBE explores AI-powered process intelligence innovations, SiliconANGLE

As industries increasingly look toward digital transformation, the integration of artificial intelligence and process intelligence has become central to advancing efficiency and maximizing value. These technologies empower organizations to streamline complex processes, reduce inefficiencies and unify data across disparate systems. This technology-driven shift not only enhances productivity but also aligns businesses with sustainability goals and rising customer expectations, making process intelligence and AI foundational to modern business strategies across industries, from finance to logistics, according to Rob Strechay (pictured, center), managing director and principal analyst at theCUBE Research. “I think what we’ve all been saying this week has been the…

28 Sep

CXL memory drives the future of data centers with low-latency solutions – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, CXL memory: The key to unlocking high-performance computing in modern data centers, SiliconANGLE

As the demand for real-time data processing escalates, the technology behind Compute Express Link, known as CXL, is emerging as a critical solution for modern data centers. CXL memory is one solution that addresses the challenges presented by the rapid growth of applications such as generative AI, autonomous driving and in-memory databases. It achieves this by offering high speed and low latency, which significantly boosts data throughput and scalability. This transformative approach enables the development of more efficient and powerful data center infrastructures, according to Andrey Kudryavtsev (pictured, back row, right), senior manager of CXL business development at Micron Technology…

29 Aug

Data management overhaul driven by open formats and AI – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, SiliconANGLE, The future of data platforms: Databricks CEO Ali Ghodsi highlights key roles of open formats and AI

Data management is undergoing a major overhaul as companies face cost pressures and the need for consolidation. The shift toward platformization is simplifying data operations, cutting expenses and boosting efficiency. This change is driven by the adoption of open data formats, artificial intelligence integration and enhanced governance solutions. As businesses focus on more sustainable and flexible data strategies, the future of data platforms promises greater innovation and operational effectiveness. TheCUBE on set to talk data management with Databricks’ CEO Ali Ghodsi. “One hundred percent of the data in Databricks is in open-source formats. And 92% is in Delta Lake,” said…

28 Aug

Enterprise technology navigating AI and cloud shifts – SiliconANGLE

stp2y0 CommentsChat-GPTChad Wilson, SiliconANGLE, TheCUBE analysts assess enterprise challenges and opportunities at VMware Explore

Enterprise technology is at a pivotal moment, as companies manage the rapid convergence of generative AI, cloud computing and evolving infrastructure demands. This shift from traditional systems to cloud-based solutions is more than just a technological upgrade — it’s a fundamental transformation in how businesses operate and compete. As organizations embrace these advancements, companies are not only rethinking strategies for scalability and efficiency, but also redefining the very fabric of enterprise operations in a digitally driven world. TheCUBE’s John Furrier, Rob Strechay and Dave Vellante discuss enterprise technology. “While the market’s shifting to industry solutions and gen AI is changing…

29 Jul

Chief data officer: Leading charge in AI and data transformation – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, From back office to boardroom: Chief data officers lead the charge in data-driven transformation, SiliconANGLE

The chief data officer is increasingly taking center stage in the fast-paced realm of data management and artificial intelligence. The CDO role has evolved from behind-the-scenes functions to key leadership positions, driving crucial data initiatives and ensuring top-notch data quality for informed decision-making. As AI becomes more embedded in business processes, the need for high-quality data has become vital for the success of expensive projects. This transformation is redefining how companies tackle data governance, analytics and AI integration, underscoring the indispensable role of chief data officers in today’s digital landscape, according to said Richard Wang (pictured, left), founder and director…

29 Jul

Unified metadata models drive data management advancements – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, SiliconANGLE, Unified metadata models pave the way for advanced data governance

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security and value creation. As businesses increasingly leverage artificial intelligence and interconnected data systems, the focus is shifting toward avoiding infrastructure pitfalls and achieving seamless data integration. This shift underscores the importance of strong governance frameworks and standardized data formats to optimize the value derived from organizational data across diverse environments, according to Karthik Ravindran (pictured), general manager of enterprise data at Microsoft Corp.. Microsoft’s Karthik Ravindran talks to theCUBE about unified metadata models.…