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27 Oct

AI model madness vs. AI model skeptics – SiliconANGLE

stp2y0 CommentsChat-GPTAI model madness vs. AI model skeptics, Robert Hof, SiliconANGLE

New artificial intelligence models keep arriving every day — make that several times a day now, judging from the list below — and you have to wonder if customers can keep up. What do you bet your company on, when an even shinier new one arrives by lunchtime? Moreover, doubts remain about whether the current crop will be enough to get AI where all its fans hope. What all these models need to get better, among other things, is more data — real, not synthetic data, which can lead to model collapse. Problem is, the people providing all that data…

27 Oct

Generative AI isn’t coming for you — your reluctance to adopt it is

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More I’m a writer and always have been. My writing skills are undeniably central to my career as an in-house public relations leader and communications strategist. Admittedly, I scoffed at the notion of generative AI coming for my job. How could a soulless machine match my creative prowess? Eventually, I realized the threat to my career did not come from AI, but from my reluctance to adopt it. Like many, I’ve been working for AI companies for years. I’ve worked with dozens…

27 Oct

Celonis’ real-time insights support strategic transformation – SiliconANGLE

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As businesses face increasing pressure to modernize their systems, making the right decisions during digital transformation with real-time insights has become crucial. Companies are looking for ways to navigate complex transformations with minimal disruption, from process optimization to large-scale system upgrades, according to Kerry Brown (pictured), digital transformation evangelist at Celonis SE. The company’s technology helps businesses approach these transformations more strategically, using data-driven insights to streamline the process and ensure success. “I use the analogy of moving houses a lot when I talk about transformation,” Brown said. “If I think about Celonis historically, it’s [about] how do you renovate,…

27 Oct

Celonis process mining aims to transform companies – SiliconANGLE

stp2y0 CommentsChat-GPTCelonis process mining looks to transform with sustainable efficiency, Ryan Stevens, SiliconANGLE

As industries prioritize efficiency and automation, there’s growing momentum around process intelligence and data-driven transformation. That’s where Celonis SE steps in. There’s been great excitement around Celonis process mining. It may feel right now like process mining is having a moment. It’s an evolution that is accelerating, according to Lars Reinkmeyer (pictured), chief evangelist at Celonis. Celonis’ Lars Reinkmeyer talks with theCUBE about Celonis process mining at Celosphere 24. “I’ve seen the process mining, which we did a couple of years ago, which was more than mining and visualizing,” Reinkmeyer said. “Now it’s been the intelligence, saying based on that…

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…

27 Oct

Intelligent automation insights from Persistent and OutSystems – SiliconANGLE

stp2y0 CommentsChat-GPTSiliconANGLE, The impact of low-code systems on intelligent automation: Insights from Persistent Systems and OutSystems, Victor Dabrinze

The rise of low-code platforms is reshaping the digital landscape, offering businesses a revolutionary way to develop software. Low-code platforms and intelligent automation help businesses handle “heavy lifting” by optimizing software development, making it more efficient and accessible to a broader range of users, according to Derek Downs (pictured, left), head of channels and alliances at OutSystems. OutSystems’ Derek Downs talks to theCUBE about Intelligent automation. “Generative AI lets you do it quickly,” Downs said. “You heard it from the main stage today, being able to move from just the bots to the agents, how do you have that intelligent driving?…

27 Oct

Intelligent automation: Transforming operations and services – SiliconANGLE

stp2y0 CommentsChat-GPTBrian Njuguna, SiliconANGLE, TD Bank leverages intelligent automation to drive customer-centric innovation and operational excellence

Based on the growing demand for systems to perform tasks that typically require human intelligence, such as pattern recognition, data analysis, adapting to new information and real-time decision making, intelligent automation is emerging as a perfect choice in the enterprise world. To streamline operations, minimize costs, improve accuracy and enhance productivity in retail banking, commercial banking, wealth insurance and investment banking, TD Bank Group has jumped on the intelligent automation bandwagon, according to Amin Kermali (pictured, right), vice president of enterprise digitization and automation at TD Bank. TD Bank Group’s Amin Kermali talks to theCUBE about intelligent automation. “TD Bank…

27 Oct

Meta inks multiyear AI content licensing deal with Reuters – SiliconANGLE

stp2y0 CommentsChat-GPTMaria Deutscher, Meta inks multiyear AI content licensing deal with Reuters, SiliconANGLE

Meta Platforms Inc. has inked a licensing deal with Reuters that will give it access to the news agency’s content. Axios revealed the agreement this morning. Meta and Reuters subsequently confirmed the news without disclosing the deal’s terms. Under the contract, Meta will make Reuters content accessible to its Meta AI chatbot for consumers. The chatbot will draw on the licensed articles to provide information about news and current events. Every prompt response generated in this manner is expected to include a link to the Reuters story on which it’s based. The feature began rolling out in the U.S. today.…

27 Oct

Generative AI adoption sets the table for AI ROI – SiliconANGLE

stp2y0 CommentsChat-GPTDave Vellante, Generative AI adoption sets the table for AI ROI, SiliconANGLE

Generative artificial intelligence enthusiasm has lately turned to artificial intelligence skepticism. Lack of clarity on tangible return on investment for mainstream businesses, a narrow list of early winners and relentless vendor marketing around AI has caused cynicism and media backlash. But the reality remains that we have entered a new era in technology innovation that has a high probability of transforming industries, public policy, company leadership and the related fortunes of individuals and organizations. Moreover, 97% of leading gen AI adopters report that they’re achieving tangible benefits from their deployments. Adoption of gen AI is relentlessly on the rise and…

26 Oct

How (and why) federated learning enhances cybersecurity

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their security posture, they must alleviate cybersecurity risks. Federated learning might be able to do both. What is federated learning? Federated learning is an approach to AI development in which multiple parties train a single model separately. Each downloads the current primary algorithm from a central cloud server. They train their configuration independently…