Latest news with #BusinessIntelligence
Business Wire
08-07-2025
- Business
- Business Wire
SUPERWISE® Recognized in Gartner® Hype Cycle™ for Analytics and Business Intelligence, 2025
NASHVILLE, Tenn.--(BUSINESS WIRE)--SUPERWISE is proud to announce its inclusion in the 2025 Gartner® Hype Cycle for Analytics and Business Intelligence as a Sample Vendor for Explainable AI (XAI). We believe this recognition highlights SUPERWISE's commitment to empowering data and analytics (D&A) leaders with transparent, trustworthy AI solutions. "...this recognition validates our mission to make AI explainable, actionable, and accountable,' said Russ Blattner, CEO of SUPERWISE. 'We're excited to be aligned with Gartner's expert guidance and to support organizations in building AI systems." 'In our view, this recognition validates our mission to make AI explainable, actionable, and accountable,' said Russ Blattner, CEO of SUPERWISE. 'We're excited to be aligned with Gartner's expert guidance and to support organizations in building AI systems that users can trust.' SUPERWISE was named alongside leading technology providers such as Amazon Web Services, Google, Microsoft, IBM, and others as a Sample Vendor in the 2025 Gartner® Hype Cycle for Analytics and Business Intelligence. The report, authored by Gartner analysts Jamie O'Brien and Edgar Macari, identifies 'Explainable AI as a high-benefit, emerging technology with market penetration currently between 5% and 20%.' According to Gartner, 'By 2027, autonomous analytics capabilities will evolve into autonomous analytics platforms that fully manage and execute 20% of business processes.' The report also states, 'By 2028, generative AI (GenAI) and RPA techniques will automate the migration of 40% of content between analytics platforms, reducing vendor lock-in and driving competitive pricing.'* SUPERWISE's inclusion underscores its role in addressing a critical challenge: the lack of model transparency that limits organizations' ability to manage AI risk. About SUPERWISE SUPERWISE® is the Enterprise AI Governance and Operations Platform purpose-built for real-world AI. With a platform-first approach, it unifies artificial intelligence operations and governance, risk, and compliance into a single, scalable foundation, enabling complex industries to deploy, run, monitor, and manage AI with confidence and proper oversight. Recognized by Gartner as a Cool Vendor in Enterprise AI Governance and a pioneer in MLOps, SUPERWISE® delivers built-in guardrails, observability, explainability, and compliance, positioning AI as a trusted foundation for successful business transformation. For more information about SUPERWISE and its XAI capabilities, visit *Gartner, Hype Cycle for Analytics and Business Intelligence, 2025, Jamie O'Brien, Edgar Macari, et al., 17 June 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Yahoo
27-06-2025
- Business
- Yahoo
Oracle Named Leader in Gartner's 2025 Analytics Magic Quadrant, Highlighting AI Integration
Oracle Corporation (NYSE:ORCL) is one of the best US tech stocks to buy now. On June 23, Oracle announced that it has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. This marks the second consecutive year that Oracle has received this distinction, acknowledging its Ability to Execute and Completeness of Vision in the analytics and business intelligence market. The report was published earlier by Gartner on June 16. According to the executive vice president of Oracle Analytics, T.K. Anand, the recognition is a result of Oracle's integration of AI at the core of its analytics offerings. Oracle continues to enhance its Analytics Cloud offerings by applying AI to facilitate user interaction with analytics. A notable feature is the Oracle Analytics AI Assistant, which uses the Oracle Cloud Infrastructure/OCI GenAI service. A team of IT professionals meticulously crafting a large-scale enterprise performance management system. The AI Assistant allows workbook authors and analysts to use natural language to discover insights from their data and construct complex visualizations. Additionally, Contextual Insights provide business users with a deeper understanding of their data by offering insights and recommendations as they navigate and explore analytics content. Oracle Corporation (NYSE:ORCL) offers products and services that address enterprise information technology environments worldwide. While we acknowledge the potential of ORCL as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Malay Mail
13-06-2025
- Business
- Malay Mail
Gorilla Technology Sets Q1 2025 Conference Call for June 18th, 2025, at 4:30 p.m. ET
[email protected] LONDON, UNITED KINGDOM - Newsfile Corp. - June 13, 2025 - Gorilla Technology Group Inc. (NASDAQ: GRRR) ("Gorilla" or the "Company") will hold a conference call on Wednesday, June 18th, 2025, at 4:30 p.m. Eastern time (1:30 p.m. Pacific time) to discuss its financial results for the first quarter of fiscal year 2025 ended March 31, 2025. Financial results will be issued in a press release before the June 18th, 20254:30 p.m. Eastern time (1:30 p.m. Pacific time)+1-833-752-4853+1-647-849-3362Please call the conference telephone number 5-10 minutes prior to the start time. An operator will register your name and organization. If you have any difficulty connecting with the conference call, please contact RedChip Companies at conference call will be webcast live and available for replay at: Dave Gentry, CEORedChip Companies, Inc.1-407-644-4256 The issuer is solely responsible for the content of this announcement. About Gorilla Technology Group Inc. Headquartered in London U.K., Gorilla is a global solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology. We provide a wide range of solutions, including, Smart City, Network, Video, Security Convergence and IoT, across select verticals of Government & Public Services, Manufacturing, Telecom, Retail, Transportation & Logistics, Healthcare and Education, by using AI and Deep Learning Technologies. Our expertise lies in revolutionizing urban operations, bolstering security and enhancing resilience. We deliver pioneering products that harness the power of AI in intelligent video surveillance, facial recognition, license plate recognition, edge computing, post-event analytics and advanced cybersecurity technologies. By integrating these AI-driven technologies, we empower Smart Cities to enhance efficiency, safety and cybersecurity measures, ultimately improving the quality of life for residents. For more information, please visit our website:
Globe and Mail
13-06-2025
- Business
- Globe and Mail
Gorilla Technology Sets Q1 2025 Conference Call for June 18th, 2025, at 4:30 p.m. ET
London, United Kingdom--(Newsfile Corp. - June 13, 2025) - Gorilla Technology Group Inc. (NASDAQ: GRRR) ("Gorilla" or the "Company") will hold a conference call on Wednesday, June 18th, 2025, at 4:30 p.m. Eastern time (1:30 p.m. Pacific time) to discuss its financial results for the first quarter of fiscal year 2025 ended March 31, 2025. Financial results will be issued in a press release before the call. Call Date: Wednesday, June 18th, 2025 Time: 4:30 p.m. Eastern time (1:30 p.m. Pacific time) Toll Free: +1-833-752-4853 International: +1-647-849-3362 Please call the conference telephone number 5-10 minutes prior to the start time. An operator will register your name and organization. If you have any difficulty connecting with the conference call, please contact RedChip Companies at 1-407-644-4256. The conference call will be webcast live and available for replay at: About Gorilla Technology Group Inc. Headquartered in London U.K., Gorilla is a global solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology. We provide a wide range of solutions, including, Smart City, Network, Video, Security Convergence and IoT, across select verticals of Government & Public Services, Manufacturing, Telecom, Retail, Transportation & Logistics, Healthcare and Education, by using AI and Deep Learning Technologies. Our expertise lies in revolutionizing urban operations, bolstering security and enhancing resilience. We deliver pioneering products that harness the power of AI in intelligent video surveillance, facial recognition, license plate recognition, edge computing, post-event analytics and advanced cybersecurity technologies. By integrating these AI-driven technologies, we empower Smart Cities to enhance efficiency, safety and cybersecurity measures, ultimately improving the quality of life for residents. For more information, please visit our website:
Forbes
11-06-2025
- Business
- Forbes
Artificial Intelligence For Business: Another Good Intro To The Issues
Artificial Intelligence Artificial Intelligence for Business, Kamales Lardi, is another good introductory book to the subject that suffers the same weaknesses as most of the other books I've read on the subject. Let's start with the good. The book is a very accessible, easy to read review of what business management wants to know about artificial intelligence (AI). Artificial Intelligence for Business, Kamales Lardi At a high level, the review of AI is good, but ignore the details. I'm not sure if it's because of confusion or a consultant's need to use the buzzwords, but I'm not thrilled with some of the details. For instance, machine learning isn't really limited to AI and was around in the business intelligence (BI) era. One thing good about the book is that it does mention BI, but doesn't focus on the area I've mentioned in previous reviews. A lot being pitched for AI's value has been done by BI for decades, including categorization and clustering. The difference is the volume of data that can lead to both higher precision and higher costs. It's up to management to look at the necessary precision for a problem and decide if the ROI for BI or AI is better in each situation. Both AI academics and consultants want to push it, but remember it's a key part of a modern solution and not a panacea. A section of the book I really liked was chapter four, ethics. Ms. Lardi does a very good job covering both the concepts and examples. It's the 'must read' of the book. The chapter before that is ok, where it covers AI working with other modern technologies. Again, at a high level, it's good; but the details are questionable. For instance, distributed ledgers are a key component of blockchain but that isn't clearly defined. While distributed ledgers in supply chains and elsewhere are valuable, the examples I've seen have only uses that because consensus slows down real business processes and isn't really needed. Again, I'm suggesting the reason that isn't made clear is the 'need' to push the blockchain buzzword. Another mixed blessing is the chapter on the future of work. While the author does make an excellent case for massively increased unemployment, that case is mitigated with the usual apologia that 'AI-driven automation does not substitute human labour completely … the human workforce will be able to focus on complex tasks.' As previously articles in this column, and those of plenty of other writers, have pointed out, there is a major problems with that thesis. People can do the complex tasks in a process because they began as rookies with simpler tasks and moved up to the complex ones as they gained skill. If AI does the simple tasks, how are humans to learn the complex ones. Are business owner more likely to take new hires and spend significant time training them for the complex task or demand AI that moves upstream and allows them to replace all employees? Yes, that's a rhetorical question. The rest of the book is a good explanation of what's needed to begin the process of expanding AI's use in business and, of course, setting up the reasons why a consultant can help the reader. The first part is good. The second is neither good nor bad, just what is to be expected. This is another book where the reader should always remember the author's background and purpose. It's far better than many coming out of academia, think tanks, and the blend of the two – people who came from academia, made a bunch of money at a startup without really understanding business, and who now think they know everything. The author is a consultant in the industry. The purpose of the book is to take her real life business experience, explain it to her market and, of course, drum up business. Remember that and it will be a positive read.
