By Matthew Perlman ( January 7, 2025, 4:28 PM EST) — The U.S. Department of Justice dramatically expanded its antitrust case against RealPage on Tuesday, accusing half a dozen residential landlords of using the software company’s tools to coordinate rental rates while reaching a settlement with one of the property owners…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia launched its much-awaited Nvidia GeForce RTX 50 series graphics processing units (GPUs), based on the Blackwell RTX tech. Jensen Huang, CEO of Nvidia, disclosed the news during his opening keynote speech at CES 2025, the big tech trade show in Las Vegas this week. “Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives,” said Huang. “Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago.” The new RTX Blackwell Neural Rendering Architecture comes with about 92 billion transistors. It has 125 Shader Teraflops of performance 380 RT TFLOPS, 4,000 AI TOPS, 1.8 terabytes per second of memory bandwidth, G7 memory (from Micron) and an AI-management processor. The top SKU has basically over 3,352 trillion AI operations per second (TOPS) of computing power. “The programmable shader is also able to carry neural networks,” Huang said. A neural face rendering. Among the new technologies in this generation are RTX Neural Shaders, DLSS 4, RTX Neural Face rendering to create more realistic human faces, RTX Mega Geometry for rendering environments, and Reflex 2. The DLSS 4 now can generate multiple frames at once thanks to advanced AI technology. That makes for much better frame rates. Nvidia showed that one scene could be rendered at 27 frames per second with the DLSS turned off, with a 71 millisecond PC latency. DLSS 2 can do that scene with its super resolution tech at 71 FPS and PC latency of 34 milliseconds. DLSS 3.5 can do the scene at 140 FPS and 33 milliseconds. But DLSS 4 comes in at a whopping 247 FPS and 34 milliseconds. DLSS 4 is more than eight times better performance than systems that aren’t using AI for the predictive processing. Nvidia’s SKUs include the GeForce RTX 50 Series Desktop Family. It includes the top of the line GPU, the GeForce RTX 5090 coming in at 3,404 AI TOPS and 32GB of G7 memory for $1,999. It also includes the GeForce RTX 5080 at 1,800 AI TOPS and 16GB of G7 memory for $999. The GeForce RTX 5070 Ti (the performance of a 4090) has 1,406 AI TOPS, 16GB of G7 memory for $749 and the GeForce RTX 5070 has 1117 AI TOPS, 12GB of G7 and costs $549. Nvidia also said the GeForce RTX 50 Series will come to laptops with two times efficiency with more performance at half the power compared to the previous generation. It has 40% more battery life with Black Max-Q, two times larger generative AI models, and it is as thin as 14.9 millimeters in terms of laptop thickness. As far as pricing goes, the laptops will come as follows: RTX 5090 at 1,824 AI TOPS and 24GB at $2,899. The RTX 5080 laptops will be at 1,334 AI TOPS, 16GB and $2,199. The RTX 5070 Ti will be 992 AI TOPS, 12GB and $1,599 and the RTX 5070 will be 798 AI TOPS, eight GB and $1,299. Those are steep prices, but they represent the high end of value in GPUs for gaming. Nvidia unveiled its Nvidia GeForce RTX 50 Series graphics chips. Justin Walker, senior director of GeForce products, said in press briefing that Nvidia’s GeForce graphics card brand just celebrated its 25-year anniversary. It was the hit product that helped cement the company’s dominance in the ultra-competitive graphics processing unit (GPU) market and it enabled the company to use graphics as a springboard to AI processing, which is why Nvidia is the most valuable company in the world with a market capitalization of $3.65 trillion. Now, it turns out, Walker said, AI can be used to help accelerate the performance of GPUs. “The great thing about that is that while we are now an AI company, as well as gaming, our gaming side still benefits tremendously from the fact that we are doing AI,” Walker said. And that’s the root of one of the announcements: Nvidia took the wraps of DLSS 4, which uses AI to predict the next pixel that needs to be drawn and then preemptively renders the pixel based on that prediction. The AI TOPS (a measure of AI performance) will be up to 4,000. The new architecture of the 5000 series will have 1.8 terabytes per second of memory bandwidth, and it’s also tapping the Blackwell architecture that is the foundation of Nvidia’s latest AI processors. The new GPU also has neural rendering technologies such as neural shaders. “This is probably the biggest thing to happen in the graphics since programming for shaders, we are actually going to be embedding small neural networks within the shaders itself, and these neural networks can do certain things much more effectively and efficiently than traditional shaders,” Walker said. The tech will enable Nvidia to compress textures eight times to maximize use of memory. The Reflex 2 tech will use predictive shading to reduce the latency between when a gamer creates a movement and it shows up on the screen, so it will be 75% more responsive for gamers. The 5090 series is likely to ship in January and the rest of the systems are going to ship in the March time frame, and the company will say which companies are shipping with the technology later. A number of games like Cyberpunk 2077 can play in 4K resolution at over 200 frames per second. Walker said the company will have a list of games that take advantage of the various features. Nvidia DLSS 4 Boosts Performance by Up to 8 times Nvidia’s DLSS 4 AI tech is paying off. DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness

A federal appeals court this week ruled that the Federal Communications Commission and Biden administration overstepped their authority by reviving net neutrality rules last year. The 6th Circuit Court of Appeals three-judge panel said the FCC was wrong to label broadband as a telecommunications service instead of an information service. The distinction was the basis for giving FCC power to wield net neutrality rules. Under the rules, which were struck down during the first Trump administration, broadband internet providers could not block or throttle internet access or speed up access to certain websites that pay higher fees. Net neutrality proponents say the rules ensure open and fair access to the internet, while detractors say the rules stifle innovation and weaken competition. Net neutrality was first approved in 2015 under the Obama administration and struck down the first Trump administration in 2017. In a down-the-line partisan vote, the FCC restored the rules last April. Democratic FCC Chair Jessica Rosenworcel urged Congress to take action against Thursday’s court decision. “Consumers across the country have told us again and again that they want an internet that is fast, open, and fair,” Rosenworcel said in a statement. “With this decision it is clear that Congress now needs to heed their call, take up the charge for net neutrality, and put open internet principles in federal law.” Related:UK Launches Antitrust Investigations Targeting Big Tech In a post on X (formerly Twitter), Tim Wu, a Columbia law professor and consultant for the Biden Administration’s competition and antitrust policy, disagreed with the court’s ruling. “When Congress passed the Telecommunications Act in 1934, it clearly wanted the American people to enjoy non-discriminatory, low-cost communications services. Finding otherwise is blatant judicial activism that puts corporate interests over American democracy,” he wrote. Republican FCC commissioner Brendan Carr applauded the court’s decision, deriding the FCC’s “nearly limitless” power over the internet as a utility under Title II of the Communication Act. “Rather than focusing on a broadband agenda that would bridge the digital divide, the Biden Administration chose to waste time and resources imposing these unnecessary command and control regulations,” Carr said in a statement. “I am pleased that the appellate court invalidated President Biden’s internet power grab by striking down these unlawful Title II regulations. But the work to unwind the Biden Administration’s regulatory overreach will continue.” Related:In Global Contest for Tech Talent, US Skills Draw Top Pay In the published opinion, the judges wrote that the action to restore net neutrality “resurrected the FCC’s heavy-handed regulatory regime.” Tim Wood, net neutrality advocate and general counsel of Free Press, scoffed at the court’s ruling. “It’s rich to think of Donald Trump and Elon Musk’s hand-picked FCC chairman characterizing light-touch broadband rules as heavy-handed regulation, while scheming to force carriage of viewpoints favorable to Trump on the nation’s broadcast airwaves and social media sites,” Wood said in a statement. “With this ruling, the 6th Circuit has for now denied the public the internet access service that it deserves…” source

By Emily Lever ( January 3, 2025, 4:13 PM EST) — Diamond Sports Group has emerged from Chapter 11 with a balance sheet that is nearly $9 billion lighter in debt and with a new name, the sports broadcasting company has announced…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Intel unveiled new Intel Core Ultra 9 processors today at CES 2025 with as much as two or three times the edge performance on AI apps than before. Intel said it is pushing the boundaries of AI performance and power efficiency for businesses and consumers, ushering in the next era of AI computing. In other performance metrics, Intel said the Core Ultra 9 processors are up to 5.8 times faster in media performance, 3.4 times faster in video analytics end-to-end workloads with media and AI, and 8.2 times better in terms of performance per watt than prior chips. The chips under the Intel Core Ultra 9 and Core i9 labels were previously codenamed Arrow Lake H, Meteor Lake H, Arrow Lake S and Raptor Lake S Refresh. A fresh start for Intel Intel hopes to kick off the year better than in 2024. CEO Pat Gelsinger resigned last month without a permanent successor after a variety of struggles, including mass layoffs, manufacturing delays and poor execution on chips including gaming bugs in chips launched during the summer. Intel Core Ultra Series 2 Michael Masci, vice president of product management at the Edge Computing Group at Intel, said in a briefing that AI, once the domain of research labs, is integrating into every aspect of our lives, including AI PCs where the AI processing is done in the computer itself, not the cloud. AI is also being processed in data centers in big enterprises, from retail stores to hospital rooms. “As CES kicks off, it’s clear we are witnessing a transformative moment,” he said. “Artificial intelligence is moving at an unprecedented pace.” The new processors include the Intel Core 9 Ultra 200 H/U/S models, with up to 99 TOPS (a measure of AI performance) for the H versions. Other models being launched carry the Intel Core 200S, 200H, 100U and Intel Core 3 processor and Intel Processor names. The chips have improvements for data security, and they come with built-in Intel Arc GPU with Intel XMX or Intel graphics. Intel Core Ultra 200V series processors are focused on the enterprise. The flagship Intel Core Ultra 9 processor 285H, formerly codenamed Arrow Lake H, has 2.2 times higher performance in Procyon AI Computer Vision, 3.3 times higher performance in Llama 3 8B, and 2.3 times higher performance in Stable Diffusion 1.5 compared to the prior chip, the Intel Core Ultra 9 processor 185H (codenamed Meteor Lake H). Intel is now under the temporary leadership of David Zinsner and Michelle Johnston Holthaus as co-CEOs. Zinsner is the company’s CFO, while Holthaus is the general manager of Intel’s client computing group. “Intel Core Ultra processors are setting new benchmarks for mobile AI and graphics, once again demonstrating the superior performance and efficiency of the x86 architecture as we shape the future of personal computing,” said Holthaus in a statement. “The strength of our AI PC product innovation, combined with the breadth and scale of our hardware and software ecosystem across all segments of the market, is empowering users with a better experience in the traditional ways we use PCs for productivity, creation and communication, while opening up completely new capabilities with over 400 AI features. And Intel is only going to continue bolstering its AI PC product portfolio in 2025 and beyond as we sample our lead Intel 18A product to customers now ahead of volume production in the second half of 2025.” The Intel Core Ultra Processor (V-SKUs) platform has NPU performance that hits 48 TOPS and 67 TOPS with a GPU. The V-SKUs have eight processor cores and run at P-Core Max Turbo frequency up to 5.1 GHz. Intel said its AI PCs use GPUs for high throughput, NPUs for low-power AI workloads and CPUs for fast response with low-latency AI workloads. There are other variations on the Intel Core Ultra as well. Smart vehicles and more In other CES 2025 news, Intel is also unveiling its solutions for smart vehicles. Jack Weast, Intel Fellow and vice president of Intel Automotive, will unveil Intel’s next-gen architecture with AI inside for vehicles on Tuesday, January 7, at 3:30 p.m. Intel says its whole-vehicle approach is built to empower the next generation of intelligent software-defined vehicles. Intel is offering a Core Ultra 9 vPro refresh. Weast’s announcement will showcase how Intel’s combination of AI-enhanced high-performance compute, intelligent power management and software-defined zonal controllers built on an open ecosystem enable a more sustainable, scalable and profitable automotive future. Intel also showed off its Intel Core Ultra 200V Series processors (announced in September) for business users. And it updated its Intel vPro technology for IT departments. For businesses striving to stay ahead in the AI era, Intel introduced Intel Core Ultra 200V series processors with Intel vPro. The company says these new processors offer dramatic performance gains, enhanced efficiency, and robust security and manageability features to help modernize IT environments. New Intel Core Ultra 200V series mobile processors with Intel vPro are aimed at empowering businesses with AI-driven productivity and enhanced IT management. The combination of performance, efficiency and industry-leading business computing with advanced security and manageability — all while enabling a seamless Microsoft Copilot+ experience — helps to deliver a robust platform for modern workplaces, Intel said. It noted that the latest HP EliteBook X laptop with an Intel Core Ultra7 268V processor has up to 10.5 hours of battery life using Microsoft Teams, compared to similar rival machines with lower battery lives. On Microsoft 365 apps, it has up to 20.3 hours of battery life. Intel has partnered with Microsoft to continue to advance AI-driven innovation, enhanced security, and superior performance into 2025. Copilot+ PCs powered by Intel Core Ultra 200V series processors unlock next-gen AI productivity, all while delivering long battery life, Intel said. “Copilot+ PCs offer exceptional performance, battery life, [and] enhanced AI experiences, and are all Secured-core PCs with the Microsoft

AMD has unveiled its highly anticipated next-generation GPUs, including the Radeon RX 9070 line for gaming and content creation, on Jan. 6 ahead of CES 2025 in Las Vegas. Powered by the cutting-edge RDNA 4 architecture, the new Radeon lineup promises significant advancements in AI computing, media encoding, and ray tracing capabilities. These GPUs are expected to hit the market in Q1 2025. AMD’s GPUs compete with NVIDIA’s, which are also expected to see a refresh at CES. “As consumers and professionals increasingly recognize the productivity benefits of AI PCs, AMD is further increasing its performance leadership in the market,” Jack Huynh, senior vice president and general manager of AMD’s computing and graphics group, said in a press release. “With the next generation of AI-enabled processors, we are proliferating AI to devices everywhere, and bringing the power of a workstation to thin and light laptops.” The Radeon RX 9070 line includes AI accelerators. Image: AMD The Radeon RX 9070 series is built on RDNA 4 architecture The Radeon 9000 series GPUs are built to complement AI workloads. The first two cards in the series, Radeon 9070 XT and Ryzen 9070, will be available in hardware from Acer, Asus, and other manufacturers. Details about the new series remain limited, but the RDNA architecture — built on the 4nm manufacturing process — promises significant advancements. The GPUs are expected to excel in AI computing, offer improved media encoding capabilities, and deliver improved ray tracing for gaming and graphics creation. Not much information is available about the Radeon RX 9070 series yet. However, AMD said over 100 enterprise platform brands will use AMD Pro technology through 2025. The company also announced the Ryzen 9000 HX series, including the beefy Ryzen 9950X3D for gaming and content creation. SEE: Shortly before CES 2025, OpenAI announced its new phase: the quest for “superintelligence.” More must-read AI coverage Ryzen AI Max and others bring AI performance to laptops Overall, Ryzen continues to devote significant attention to AI PC products, including the third-generation AMD Ryzen AI and Ryzen AI 300 Pro series processors announced at CES. These chips compete with Qualcomm’s and Intel’s Copilot+ PC processors. AMD claims that the Ryzen AI 7 350 and Ryzen AI 5 340 perform at 50 TOPS at peak performance. Options range from the 6-core, 12-thread AI Max Pro 380 to the 16-core, 32-thread AI Max/AI Max Pro 395 build. The AI Max and AI Max Pro series offer up to 256 GB/s bandwidth. HP and Asus are on board to sell laptops and mini workstations equipped with these chips. AMD announced the AI Max and AI Max Pro series processors for gaming, scheduled for the first half of 2025. Although mobile gaming may be the primary use case, these heavy-duty graphics engines may find their way into compact workstations for graphic designers, game developers, and other graphics-intensive professional use cases. Ryzen Z2 and Ryzen 200 processors coming soon Other announcements from AMD at CES 2025 included: The Ryzen Z2 Series for handheld PC gaming is available in the first quarter of 2025. The Ryzen 200 Series processors for IT environments and other mainstream commercial uses are available in the second quarter of 2025. “AMD Ryzen CPUs offer the best TCO [total cost of ownership], delivering exceptional performance and efficiency,” said Robert Kochheim, global portfolio manager of digital workplace at Shell in an AMD press kit. source

In 1999, under the digital gleam of Keanu Reeves in “The Matrix,” IT teams either sat confidently with the changes they made to resolve the Y2K bug or waited with bated breath to see if the fixes held. The arrival of the year 2000 did not bring about the feared digital apocalypse thanks to fixes to make software and hardware to understand what seemed like a simple, yet crucial change to date formats. Now, more than one generation later, IT infrastructure faces a menagerie of other potential risks that could bring about systemic disruptions — some attributed to errors, others that stem from bad actors. This episode of DOS Won’t Hunt saw Greg Rivera, vice president of product at CAST; Paul Davis, field CISO at JFrog; and Theresa Lanowitz, chief evangelist at LevelBlue, discuss how computer infrastructure evolved in the 25 years since worries about Y2K launched IT teams into action. Are there rules and norms that were part of legacy tech from the Y2K era that no longer apply in the time of cloud, edge, and all else? Would the mass IT mobilization that happened to resolve Y2K be easier or harder to pull off today to address infrastructure issues? Did bad actors learn any tricks from Y2K for potential systemwide cyberattacks? source

Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs.[1] The limits of siloed AI implementations According to SS&C Blue Prism, an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. When AI solutions are designed to address isolated problems without integrating broader organizational data and insights, they miss opportunities to drive transformative outcomes. These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful. Automation takes care of end-to-end processes while also providing a detailed audit trail. With AI now incorporated into this trail, automation can ensure compliance, trust and accuracy – critical factors in any industry, but especially those working with highly sensitive data. Moreover, siloed initiatives can lead to duplicated efforts, with different departments independently developing overlapping AI capabilities, resulting in wasted time, inflated costs, and diminished efficiency. Taking a holistic approach to enterprise AI However, when AI is implemented effectively it can dramatically enhance productivity and innovation while keeping costs under control. According to PwC, organizations can experience incremental value at scale through AI, with 20% to 30% gains in productivity, speed to market, and revenue, on top of “big leaps” such as new business models.[2]  For SS&C Blue Prism, the key to success in AI lies in deploying the technology holistically across the enterprise and integrating AI technologies alongside comprehensive business automation and orchestration capabilities. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed. By leveraging AI technologies such as generative AI, machine learning (ML), natural language processing (NLP), and computer vision in combination with robotic process automation (RPA), process and task mining, low/no-code development, and process orchestration, organizations can create smarter and more efficient workflows. Transforming the enterprise with AI In this approach, businesses are able to move beyond isolated implementations, aligning AI-driven insights and automation capabilities with enterprise-wide objectives. For example, process and task mining can uncover inefficiencies and identify opportunities for optimization, while RPA and low/no-code platforms can empower teams to automate repetitive tasks and develop solutions rapidly. Meanwhile, AI-powered tools like NLP and computer vision can enhance these workflows by enabling greater understanding and interaction with unstructured data. When orchestrated effectively, these technologies drive scalable transformation, allowing businesses to innovate, respond to changing demands, and enhance productivity seamlessly across functions. AI in action The benefits of this approach are clear to see. One insurance company, for instance, automated its mailroom with SS&C Blue Prism, using pre-programmed templates to quickly identify and reorder forms and extract typed and handwritten data, SS&C Blue Prism helped the company replace manual tasks with up to 98% accuracy.[3] Meanwhile, ABANCA, a Spanish retail bank, has used SS&C Blue Prism’s intelligent automation, generative AI, and NLP to automate over a thousand tasks, which improved customer and employee experience and allowed it to respond to customer inquiries 60% faster.[4] On their own AI and GenAI can deliver value. However, it’s only when combined with automation and orchestration that the technologies’ full potential can be unlocked. Clearly, organizations that think strategically about AI and deploy it as an integrated, holistic system stand to unlock the full benefits of the technology, control costs, and outpace their peers. Explore your enterprise AI Process [1] Gartner, Gartner Predicts 30% of Generative AI Projects Will Be Abandoned After Proof of Concept By End of 2025, July 2024 https://www.gartner.com/en/newsroom/press-releases/2024-07-29-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025 [2] PwC, PwC’s October 2024 Pulse Survey, October 2024, https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html [3] SS&C Blue Prism, Mailroom Automation: AI Replaces Manual Tasks with Up to 98% Accuracy, https://www.blueprism.com/resources/case-studies/digitizing-the-mailroom-ai-system-eliminates-manual-tasks-with-up-to-98-accuracy/ [4] SS&C Blue Prism, IA and Generative AI Help ABANCA Respond 60% Faster to Customer Inquiries, https://www.blueprism.com/resources/case-studies/abanca-customer-experience-cx-generative-ai/ source

Process intelligence that improves key supply chain, distribution, product, finance and customer operations has brought enormous, lasting business value to organizations across the globe. BMW, Allianz, GE Healthcare, The State of Oklahoma and others of all sizes across all industries have optimized business performance, freed up billions in cash savings and reduced their carbon footprint by using state-of-the art technology to mine, model, orchestrate and optimize just a single process or system.  Now, leading-edge organizations are starting to recognize that improved efficiency, resilience, agility, digital transformation and other benefits can be significantly amplified by collaborating with business partners and extending process intelligence beyond their company walls.  A peek at the process intelligence frontier Want a glimpse at the frontier of high-value enterprise process ontelligence?  Three of Europe’s top electronics suppliers are streamlining operations by building transparency between their shared Order Management and Procurement process.  Process intelligence is letting an NGO and researchers analyze previously siloed data from the juvenile justice and mental health systems in a large U.S. state, providing systemic insights that can improve outcomes for at-risk youth and families.  A pre-built AI Collaboration Agent, powered by Rollio, uses a natural language interface to help humans resolve process exceptions through better cross-organizational decision-making.  In different ways, each example reaches beyond organizational and company boundaries and a handful of in-house experts and into profitable collaboration with business partners and a larger population of everyday users. Cross-company collaboration amplifies value for all  Integrating and democratizing value across networks is a logical evolution, says Eugenio Cassiano, SVP of strategy and innovation at Celonis. Headquartered in Munich and New York, the private firm (valued at $13 billion) is a pioneer and global leader in Process intelligence that counts more than 30% of the Fortune Global 500 companies as customers. Collaborating on processes can produce many shared benefits and boost the “top, bottom and green lines” of companies, business partners and industries, Cassiano says. But there’s a big catch. Processes have become multi-layered and extremely complex, explains Cassiano. Today, no single company — including Celonis — can possess all the technological and industry knowledge needed to profitably extend process improvements to diverse partners. Success requires working with and across partner ecosystems to create deep and lasting value. “Scale is not just scaling with your own people,” he explains. “It doesn’t just take a village – it takes an ecosystem.” “Co-innovators” are key to process expansion In this ever-changing environment, Celonis believes the smartest way to meet the challenge is by empowering a worldwide community of partners to “co-innovate” process improvements. Involving customers, consultants, developers, integrators and others has long been foundational to the company’s ambitious mission to “make processes work for the people, companies and the planet.”  In the last year, this community (which Celonis calls “ change makers”) has significantly expanded, with 150 new partners starting 1,300 new projects. During the same period, 65,000 students have trained at more than 700 Celonis partner alliance universities. They’ll become the next generation of process leaders, with an inside track to the new career paths and opportunities in process intelligence fueled by the ongoing AI boom. Advanced tech expands process development and use  In addition, it is important to equip community partners with state-of-the-art technologies and tools.  From its start, Cassiano notes, Celonis has championed and developed open, vendor-agnostic platforms and products that work with the likes of Salesforce, SAP, Oracle and hundreds of other enterprise vendors of ERP, CRM and core business systems.  At Celosphere, its annual user event held this fall, the company introduced a host of new offerings and enhancements designed to make it easier for various partners to develop, co-develop and use process optimizations within and across company boundaries, including:  Celonis Data Core: Called Celocore for short, it helps customers get data into Celonis more easily and once it’s there, enables them to perform transforms, loads and queries more quickly. The company said Celocore delivers up to 20x performance versus the competition. New GenAI-powered user experience: This simplifies data ingestion and dashboard building through GenAI-powered assistants. New use-case-specific apps: These applications combine partners’ industry and domain expertise with Celonis’ app-building best practices and the latest platform capabilities. Celonis AgentC: This suite of tools, integrations and partnerships enables the company’s community to develop AI agents in the leading AI agent platforms, like Microsoft Copilot Studio, IBM watsonx Orchestrate and Amazon Bedrock Agents. It also allows them to use AI agents pre-built by partners. One early user, Campari Group, the legendary spirits maker, will use the Celonis Process Collaboration Agent, powered by Rollio to speed up removal of credit blocks for sales orders. Cosentino, a leading manufacturer of design and architectural surfaces, is also using a Celonis AI assistant to analyze blocked sales orders, enabling credit managers to process up to 5x more orders per day. Celonis Networks: A new offering, announced in beta, that is designed to extend the process intelligence beyond company walls by connecting organizations. Speaking about Networks, Cassiano said: “Celonis provides a platform for companies and industries to come together, share information, coordinate activities and co-create solutions to tackle complex problems that no single entity could solve on its own, and turn intelligence into business value.”  Network capabilities help partners solve complex problems in several keyways:  Common taxonomy and language reduce time, effort and friction in communicating and collaborating across companies and industries.  Federated data sharing gives contributors a holistic view of problems and insights unavailable in a single organization. Process orchestration enables coordinated workflows and activities across organizations.  While most cross-organizational projects and partner-developed apps are in early stages, initial results are noteworthy. Electronics partners streamline procurement  Despite using EDI technology, Conrad Electronic, a 100-year-old family business and its European suppliers, Schukat Electronic and TD SYNNEX, struggled with outdated pricing, delivery discrepancies and various data mismatches. Implementing a cross-company process network has yielded big payoffs, the partners said. Shared, standardized and unified data structures means purchase orders are communicated and translated seamlessly across the supply chain. Prices and orders

“These robots are driven by physical AI models that can understand and interact with their environments,” Lebaredian said. “While language models generate text or video from text or image prompts, physical AI will generate their next action based on instructions. Physical AI will completely revolutionize the world’s industrial markets, bringing AI into 10 million factories and 200,000 warehouses.” Lebaredian said that most people think of Nvidia’s robotics and automotive businesses as the computer in the robot or car. But, he said, the real opportunity is the AI factory. Currently, developers of humanoid robots rely on hundreds of human operators performing thousands of repetitive demonstrations to teach a handful of skills. And autonomous vehicle (AV) developers need to drive millions of miles and process, filter, and label the thousands of petabytes of data they capture. “Ultimately, no matter how much real-world data you collect and how many miles you drive, we’ll always need synthetic data to perfect models and ensure they can perform well even in long-tail, edge-case scenarios,” Lebaredian said. source