Latest news with #Spider
Business Upturn
a day ago
- Business
- Business Upturn
PromptQL Partners with UC Berkeley to Develop New Data Agent Benchmark for Reliability of Enterprise AI Agents
BERKELEY, Calif., June 04, 2025 (GLOBE NEWSWIRE) — PromptQL , a platform for reliable AI, today announced a strategic research collaboration with the University of California, Berkeley to develop the first comprehensive data agent benchmark for enterprise reliability specifically designed to evaluate general-purpose AI data agents in enterprise environments. A recent McKinsey study revealed that 78% of organizations use AI in at least one business function, however, more than 80% say their organization hasn't seen a tangible impact on enterprise-level Earnings Before Interest and Taxes (EBIT). The partnership – led by Aditya Parameswaran, Professor and Co-Director of UC Berkeley's EPIC Data Lab , along with his students – addresses this fundamental challenge organizations face when deploying AI systems in business-critical environments. While existing agentic data benchmarks like GAIA, Spider, and FRAMES test specific AI tasks, they overlook the complexity, reliability demands, and messy, siloed data that define real business environments. The forthcoming data agent benchmark aims to offer a solution by creating a framework that reflects real-world complexities. 'Our customer conversations reveal a clear pattern—they're ready to move from proof-of-concepts to production AI, yet they lack the evaluation tools to make confident deployment decisions,' said Tanmai Gopal, CEO of PromptQL. 'The data agent benchmark changes that by using representative datasets from our work in telecom, healthcare, finance, retail, and anti-money laundering to reflect the real complexity of enterprise AI.' UC Berkeley's EPIC Data Lab brings expertise to this collaboration. Professor Parameswaran is a leading authority on the use of AI for next-gen usable data analysis tools and has received numerous prestigious awards. His research group has created widely-adopted data tools with tens of millions of downloads. 'Current benchmarks suffer from what I call the '1% problem'—they're built for tech giants and ignore the 99% of organizations grappling with real-world data complexity,' Parameswaran said. 'The data agent benchmark marks a shift toward evaluating AI based on the reliability, transparency, and practical value enterprises actually need. This collaboration bridges academic rigor with the production insights PromptQL brings from real deployments.' The data agent benchmark beta will be revealed later this year. Organizations interested in early access or contributing use-cases or datasets can reach out to the research team at [email protected] . PromptQL will be at AI Engineer World's Fair , June 3-6 in San Francisco. Tanmai Gopal, PromptQL's co-founder and CEO, will present a session, 'Al Automation that Actually Works: $100M Impact on Messy Data with Zero Surprises,' on June 4 at 11:15 a.m. PT. To learn more or schedule a demo at the PromptQL booth, visit . About PromptQL PromptQL is a next-generation AI platform from the makers of Hasura, the company behind the pioneering GraphQL Engine. Built for enterprise-grade reliability, PromptQL enables natural language analysis and automation on internal business data — with an industry-first accuracy SLA. By learning the unique language of your business and planning tasks before executing them deterministically, PromptQL brings human-level precision to AI agents. About UC Berkeley EPIC Data Lab The EPIC Data Lab at UC Berkeley develops low-code and no-code interfaces for data work, powered by Gen AI. Co-Led by Professor Aditya Parameswaran, the lab follows Berkeley's tradition of multidisciplinary systems research with emphasis on real-world impact and practical deployment. The lab's tools, including DocETL and other widely-adopted systems, demonstrate Berkeley's leadership in democratizing data science capabilities. Media Contact:Erica Anderson Offleash for PromptQL [email protected]
Yahoo
a day ago
- Business
- Yahoo
PromptQL Partners with UC Berkeley to Develop New Data Agent Benchmark for Reliability of Enterprise AI Agents
New benchmark to address critical gap in evaluating AI systems for mission-critical business operations BERKELEY, Calif., June 04, 2025 (GLOBE NEWSWIRE) -- PromptQL, a platform for reliable AI, today announced a strategic research collaboration with the University of California, Berkeley to develop the first comprehensive data agent benchmark for enterprise reliability specifically designed to evaluate general-purpose AI data agents in enterprise environments. A recent McKinsey study revealed that 78% of organizations use AI in at least one business function, however, more than 80% say their organization hasn't seen a tangible impact on enterprise-level Earnings Before Interest and Taxes (EBIT). The partnership – led by Aditya Parameswaran, Professor and Co-Director of UC Berkeley's EPIC Data Lab, along with his students – addresses this fundamental challenge organizations face when deploying AI systems in business-critical environments. While existing agentic data benchmarks like GAIA, Spider, and FRAMES test specific AI tasks, they overlook the complexity, reliability demands, and messy, siloed data that define real business environments. The forthcoming data agent benchmark aims to offer a solution by creating a framework that reflects real-world complexities. "Our customer conversations reveal a clear pattern—they're ready to move from proof-of-concepts to production AI, yet they lack the evaluation tools to make confident deployment decisions,' said Tanmai Gopal, CEO of PromptQL. 'The data agent benchmark changes that by using representative datasets from our work in telecom, healthcare, finance, retail, and anti-money laundering to reflect the real complexity of enterprise AI.' UC Berkeley's EPIC Data Lab brings expertise to this collaboration. Professor Parameswaran is a leading authority on the use of AI for next-gen usable data analysis tools and has received numerous prestigious awards. His research group has created widely-adopted data tools with tens of millions of downloads. "Current benchmarks suffer from what I call the '1% problem'—they're built for tech giants and ignore the 99% of organizations grappling with real-world data complexity,' Parameswaran said. 'The data agent benchmark marks a shift toward evaluating AI based on the reliability, transparency, and practical value enterprises actually need. This collaboration bridges academic rigor with the production insights PromptQL brings from real deployments.' The data agent benchmark beta will be revealed later this year. Organizations interested in early access or contributing use-cases or datasets can reach out to the research team at epic-support@ PromptQL will be at AI Engineer World's Fair, June 3-6 in San Francisco. Tanmai Gopal, PromptQL's co-founder and CEO, will present a session, 'Al Automation that Actually Works: $100M Impact on Messy Data with Zero Surprises,' on June 4 at 11:15 a.m. PT. To learn more or schedule a demo at the PromptQL booth, visit About PromptQLPromptQL is a next-generation AI platform from the makers of Hasura, the company behind the pioneering GraphQL Engine. Built for enterprise-grade reliability, PromptQL enables natural language analysis and automation on internal business data — with an industry-first accuracy SLA. By learning the unique language of your business and planning tasks before executing them deterministically, PromptQL brings human-level precision to AI agents. About UC Berkeley EPIC Data LabThe EPIC Data Lab at UC Berkeley develops low-code and no-code interfaces for data work, powered by Gen AI. Co-Led by Professor Aditya Parameswaran, the lab follows Berkeley's tradition of multidisciplinary systems research with emphasis on real-world impact and practical deployment. The lab's tools, including DocETL and other widely-adopted systems, demonstrate Berkeley's leadership in democratizing data science capabilities. Media Contact:Erica Anderson Offleash for PromptQLpromptql@ Research Contact:Professor Aditya ParameswaranUC Berkeley EPIC Data Labepic-support@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
France 24
3 days ago
- Politics
- France 24
What we know about Ukraine's drone strikes on airbases in Russia
Ukrainian security services conducted a massive drone attack against Russian military airbases on Sunday, striking thousands of kilometres from the front line in what President Volodymyr Zelensky said was their longest-range operation ever. The operation, code-named 'Spider's web', required months of preparation and the smuggling of drones into Russian territory. Here is what we know about the attacks, which occurred on the eve of talks in Istanbul between Russia and Ukraine to explore the prospects for a ceasefire. Damage Ukraine has claimed significant damage but for now it is impossible to verify independently. A source in Ukraine's SBU security service said the coordinated attacks hit 41 aircraft used to 'bomb Ukrainian cities', citing the Tu-95 and Tu-22 strategic bombers and the A-50 radar detection and command aircraft. Russia's defence ministry confirmed that 'several aircraft caught fire' following a drone attack at bases in the regions of Murmansk and Irkutsk, located in the Russian Arctic and eastern Siberia. The fires were contained, the ministry said, and caused no casualties, adding that suspects had been 'arrested'. Ukrainian security services said they destroyed 34 percent of Russian strategic bombers carrying cruise missiles, claiming to have inflicted damages amounting to $7 billion. Modus operandi The 'Spider's web' operation was prepared for over a year and a half, the Ukrainian SBU source said, adding that it had required particularly complex logistics. Ukraine regularly launches drones to strike targets in Russia in response to the Russian invasion of 2022, but the modus operandi used this time was different. The Ukrainian security source said drones had been smuggled into Russia and hidden in wooden structures installed on trucks. The structures' roofs were then opened remotely to let the drones fly toward their targets. Photos shared by the SBU show numerous small black drones hidden in what appears to be transport containers. Russia's defence ministry confirmed that the drones were not launched from Ukrainian territory but 'in the immediate vicinity of the airbases'. Longest-range ever Zelensky on Sunday hailed the operation's 'brilliant' results in what he called 'our most long-range operation' in more than three years of war. Using 117 drones, Ukraine was able to reach regions thousands of kilometres from the front, when its attacks generally focus on areas close to its borders. Two of the airbases Ukraine said it had hit, Olenya and Belaya, are around 1,900 kilometres (1,180 miles) and 4,300 kilometres from Ukraine. The first is located in the Russian Arctic, the other in eastern Siberia. The Russian ministry said it successfully countered other attacks in the regions of Ivanovo and Ryazan as well as in Amur, near the border with China in the Russian Far East. Consequence and symbolism The consequences of the attacks on Russian military capabilities are difficult to estimate at this stage. Ukraine suffers from almost daily air attacks that have strained its air defence capabilities in recent weeks. Russian military bloggers lamented a 'black day for aviation' after the Ukrainian attack. Rybar, an account on the Telegram messaging platform that is close to the Russian military, called it a 'very heavy blow' and pointed to what it called 'serious errors' by Russian intelligence. But the symbolic significance is important for Ukraine, whose army has been facing setbacks on the front. Former Ukrainian president Petro Poroshenko, now an opposition figure, said there were 'no better arguments' for Ukraine on the eve of talks with Moscow in Istanbul.
Press and Journal
6 days ago
- Sport
- Press and Journal
STARTING XI: Graeme Stewart on title joy with Buckie and early days at Caley Thistle
Former Buckie Thistle manager Graeme Stewart takes on this week's Q&A feature. The man known as 'Spider' – who stepped down as Jags boss after leading the club to the Highland League title in 2024 – looks back on his playing and managerial career to date. It was for Caley Thistle in a League Cup tie at Stenhousemuir in July 1999. We won 3-1 and I played an hour. I was 17 and just remember everyone seemed so big and quick. I enjoyed it, but was out my depth and it made me realise I had a lot of work to do to be able to play at that level. Winning the league with Buckie Thistle four times as player and manager. I won promotion with Peterhead for finishing second one season but nothing comes close to the feeling of winning the league and knowing all the hard work paid off. Bobby Mann and Barry Robson at Inverness were both brilliant. If Bobby had pace he could have played at any level, in my opinion. In the Highland league, Ian Murray was an outstanding striker and could have played at a higher level. There are a few others that stand out – Tommy Wilson, David Macrae and Zander Sutherland were all terrific. I always had hard games against Rab Brown, and we ended up being teammates. He was a very good hard player, which every team needed. Kyle MacLeod and Andrew MacAskill had the worst gear I've ever seen. It was like they were trying to look bad and the clothes were either too bright, too big, or too small. Hopefully as enthusiastic and encouraging. I was always talking and trying to help those around me. However, in my early 20s, they might have said a few different things. You only get out of something what you are willing to put in. I don't think it's a coincidence that the most successful people tend to work the hardest. I used to love playing against Fraserburgh at Bellslea Park. There was a big rivalry between the clubs and they always had a big, strong and aggressive team. The games were a battle and usually ended in a red card or two. When I went there as a manager, it made me miss playing. I didn't score many, but my favourite would have been against Morton in the Scottish Cup for Buckie. We were away from home and losing 2-0 and I scored to make it 2-2. We ended up conceding in the last minute to make it 3-2, but if we held on, it would have been one of the best results in Buckie's history. I would probably take Daniel Bell as he is one of my best friends. I'm not sure if he would be able to help catch any food, but at least we could have a laugh. Well, I have been away from football for 12 months now, so I have had plenty time to relax and spend time with my family. I have two daughters and it has been good being able to do things with them at the weekend. I also enjoy watching football matches on TV or going to grounds when I get the chance.
USA Today
29-05-2025
- Automotive
- USA Today
TaylorMade Spider ZT putters
TaylorMade Spider ZT putters TaylorMade Spider has been among the most popular mallet putters for over a decade. A new zero-torque version could help you get even more consistent. Gear: TaylorMade Spider ZT putters Price: $449.99 (Standard), $499.99 (Counterbalance), $549.99 (Long) Specs: Milled multi-material body (304 stainless steel face, 7075 aluminum back), toe-up face balance, low-torque shaft bore with 1° onset, True Path™ alignment, Pure Roll™ insert Available: May 29 (Preorder), June 5 (Retail) Who it's for: Golfers who want more consistency in face control and alignment without overthinking mechanics—especially mallet fans who value stability but want a putter that feels intuitive and responsive What you should know: The Spider ZT is built to reduce torque and increase roll consistency. With its unique shaft orientation, advanced sole shaping, and high-quality materials, it's a more refined take on Spider's longstanding high moment of inertia (MOI) formula. The Deep Dive: Since the original Spider debuted in 2008, TaylorMade has built a reputation for delivering mallets that help players control speed and direction through forgiveness and stability. With the new Spider ZT, that familiar formula gets a reengineered update. Rather than simply pushing MOI even higher, TaylorMade shifts the focus to how the entire head is constructed, weighted, and ultimately balanced to work with the putting stroke rather than against it. The ZT features a 100 percent milled chassis combining aerospace-grade 7075 aluminum in the rear with denser 304 stainless steel up front. This multi-material build enables the company to shift weight low and deep while also pushing it toward the perimeter—key elements in creating the high-MOI characteristics Spider putters are known for. At the same time, three internal TSS (Tungsten Stability System) weights have been strategically placed to triangulate the center of gravity (CG), allowing the ZT to maintain a toe-up balance that helps the putter resist twisting throughout the stroke. That balance configuration—known as face-forward or toe-up—is one of the defining features of the Spider ZT. Unlike most mallets that have hosel or neck configurations that produce face balance or toe hang, this setup is designed to keep the face oriented toward the stroke path, so it helps golfers deliver the putter with more stability and less need for subtle compensations using their hands. The rest of the Spider ZT's design supports the idea of enhanced consistency. A newly cambered sole, shaped specifically to match the hosel and shaft geometry, helps the putter rest flat and aim consistently at address. By simplifying how the putter sits behind the ball, the design reduces alignment errors and makes it easier to start the ball on your intended line. Instead of a bold True Path alignment system stripe on top-line, the ZT features tightly milled lines on the top of the stainless steel face, spanning the exact width of a golf ball. The result is a more minimalist look that still provides a helpful framing cue without becoming visually dominant. The Spider ZT keeps the familiar Pure Roll™ insert—made from Surlyn and aluminum with grooves that face downward at a 45-degree angle—to promote quick forward roll off the face. It delivers a muted, soft sensation at impact and works in tandem with the face-forward balance to encourage end-over-end roll and tighter distance control. Cosmetically, the Spider ZT introduces a fresh look. The navy anodized sole features a reimagined Spider logo and a dot marking system: one dot for standard, two for counterbalance, and three for the long model. A new headcover design and black-and-white SuperStroke grips complete the package, with the long model getting a split pistol grip for added control.
