Latest news with #businessanalytics
Associated Press
15 hours ago
- Business
- Associated Press
Tredence Launches 'Milky Way' - Enterprise-Ready Constellation of AI Agents Enabling Autonomous Decision Intelligence
Multi-agent Decision System that Transforms Business Analytics with 5X Faster Insights and 50% Cost Reduction SAN JOSE, Calif. and BANGALORE, India, Aug. 18, 2025 /PRNewswire/ -- Tredence, a global leader in data science and AI solutions, today announced the launch of Milky Way, a multi-agent, multi-turn agentic decision system that transforms enterprise decision-making using autonomous AI agents. Built specifically for enterprise environments, the platform deploys specialized AI agents as digital co-workers that reason, collaborate, and deliver business outcomes at remarkable speed and scale. As enterprises race to deploy AI beyond basic automation, many struggle to translate data into timely, actionable decisions. While large companies embrace 'agentic AI' as the future of business operations, most organizations lack the infrastructure to deploy autonomous agents effectively. Milky Way bridges this gap by combining Tredence's decade of domain expertise with a robust architecture featuring 15+ prebuilt agents tailored across critical business roles and 50+ specialized agents all trained on real-world enterprise scenarios. Unlike traditional AI assistants that require constant human supervision, Milky Way agents operate autonomously across crucial business functions. The platform features specialized business agents, such as customer analysts who address churn and journey issues, marketing analysts who optimize campaigns, supply chain analysts who manage inventory and anticipate disruptions, shopper insights analysts who improve customer understanding and market research, and product analysts who enhance lifecycle management with predictive insights. These agents are complemented by technical specialists, including Text-to-SQL, anomaly detection, question clarification, and report generation, among others. Together, they function like experienced analyst teams, asking the right questions, investigating hypotheses, and generating contextual insights that are accurate, and auditable. Early deployments across retail, consumer packaged goods, telecommunications, and healthcare have demonstrated remarkable results: up to 5X improvement in time-to-insight and 50% reduction in analytics costs. A global retailer reduced manual effort in merchandising operations by 60% using agents for assortment planning and pricing optimization, while healthcare organizations automated patient data aggregation and triage for faster diagnostic support. 'The enterprise AI landscape is shifting from tools to teammates,' said Shub Bhowmick, CEO and Co-founder of Tredence. 'The real challenge isn't building smarter models, it's building systems that understand context, adapt to complexity, and drive meaningful outcomes. Most GenAI platforms are still limited to generating responses. With Milky Way, we've taken a different path, creating agents that reason through problems, connect the dots, and act with purpose. It's not about replacing people; it's about augmenting them with intelligence that's deeply aligned to how businesses actually work. That's how we move from experimentation to execution.' Milky Way is designed with enterprise-grade flexibility and security at its core. Its modular architecture integrates natively with existing data platforms and ensures transparency through full audit trails and role-based access. The agents draw on domain specific enterprise & industry knowledge and continuously improve through proprietary evaluation framework and traces. This ensures they don't just generate insights, they orchestrate multi-step, context-aware decisions that scale. 'What sets Milky Way apart is its focus on delivering business outcomes rather than technical sophistication,' said Sumit Mehra, Chief Technology Officer and Co-founder at Tredence. 'Our agents don't just process data, they understand business context, maintain decision history, and scale insights without scaling teams.' Milky Way joins Tredence's expanding AI portfolio, following the company's recognition as a Leader in The Forrester Wave™: Customer Analytics Services, Q2 2025, Emerging Visionary in Gartner's Emerging Visionary for Generative AI Consulting & Implementation Services and recent Partner of the Year honors from Databricks, Google Cloud, and Snowflake. About Tredence Tredence is a global data science and AI solutions provider focused on solving the last-mile problem in AI – the gap between insight creation and value realization. Tredence leverages strong domain expertise, data platforms and accelerators, and strategic partnerships to provide tailored, cutting-edge solutions to its clients. Tredence is 3500-plus employees strong with offices in the San Francisco Bay Area, Chicago, London, Toronto, and Bengaluru, with the largest companies in Retail, CPG, Banking & Financial Services, Healthcare, Telecom, Travel & Hospitality, and Industrials as clients. For more information, please visit and follow us at Tredence on LinkedIn. Logo: View original content: SOURCE Tredence
Yahoo
29-06-2025
- Business
- Yahoo
Palantir Technologies Inc. (PLTR): I've Always Been Bullish, Says Jim Cramer
Palantir Technologies Inc. (NASDAQ:PLTR) is one of the . Palantir Technologies Inc. (NASDAQ:PLTR) is a business analytics company whose shares are among the top performers this year. The stock has gained 90% year-to-date due to the firm's key role of providing software that allows for efficient business operations to the US government. Palantir Technologies Inc. (NASDAQ:PLTR) is also perhaps one of the largest pure-play software defense contractors in America which has helped stabilize its business as overall corporate spending remains slow. Cramer regularly discussed the stock during the first quarter as he outlined that Palantir Technologies Inc. (NASDAQ:PLTR) could benefit from efficiency drives in the US government led by Elon Musk's DOGE at the time. This time around, he commented on whether the stock can touch $200: 'And by the way, Palantir. A guy asked me, why aren't I more bullish on Palantir? I said when it was at 50 I said it was going to a 100. When I said it was a hundred, I said it was going to 200. I can't raise it yet! Can it go to 200? First they had them on this morning, I mean you know different guy, they didn't have Karp on. This guy didn't curse. It was great because it would have been double curse if we had Karp and the President.' A software engineer intently typing code into a laptop with multiple screens in an office. Recently, Cramer also called Palantir Technologies Inc. (NASDAQ:PLTR) a meme stock. Here is what he said: 'The ultimate meme stock for the moment is this company called Palantir, which reports. It's a cybersecurity company. Now this one's moved up by persistent retail buying that starts around 4:00 AM every day when they literally walk it up a couple of points before the bell and then continue to keep it at that level until the close. While we acknowledge the potential of PLTR as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Error 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
Yahoo
25-06-2025
- Business
- Yahoo
Raymond James Downgrades Dun & Bradstreet After Shareholders Approve Buyout
Raymond James cut its rating on Dun & Bradstreet (NYSE:DNB) from Strong Buy to Market Perform on June 13, following shareholder approval of the company's acquisition by Clearlake Capital. The shareholder vote cleared the way for the $9.15-per-share deal to move forward, effectively marking D&B's exit from public markets. The company, known for its business analytics platform and 62% gross margins, was absorbed into Clearlake's portfolio, leaving behind its ~$4 billion public valuation. An executive presenting a business proposal in a modern open office space, surrounded by data analytics displays. Raymond James had previously held out hope for a more favorable outcome for shareholders, implying the firm viewed the final price as underwhelming. With the transaction now locked in, analysts said the downgrade was simply a recognition that the upside scenario was no longer on the table. No changes were made to D&B's financial forecasts, which is consistent with the view that the downgrade is tied to the structure of the deal, not a shift in the company's fundamentals. The move effectively ends the public story for Dun & Bradstreet, with shares now anchored to the buyout price and little left to play for in the market. While we acknowledge the potential of DNB as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: The Best and Worst Dow Stocks for the Next 12 Months and 10 Unstoppable Stocks That Could Double Your Money. Disclosure: None.
Forbes
24-06-2025
- Business
- Forbes
How AI Agents Can Take Your Business Analytics To Another Level
Alon Goren, CEO and Cofounder of AnswerRocket, transforming your analytics with AI. In my last FTC piece, I provided a primer on the capabilities of agentic AI, the value of the tech and how it can be tested and tweaked to improve accuracy. AI agents can make a major impact in many ways, such as cybersecurity, robotic process automation and customer support. But there's one use case where I've seen them really shine: business analytics. Back in November 2023, I discussed how generative AI is accelerating enterprise analytics. LLMs allow normal business users to tap into their organization's data and uncover critical new insights. Agentic AI is taking things to an exciting new level here, and I believe they will eventually make LLMs obsolete when it comes to driving value from business data. Agentic AI Analytics: Fulfilling The Role Of An Expert Analyst Traditional GenAI analytics is powerful, making enterprise data more accessible and yielding far more insights versus plain business intelligence (BI) analytics. It works within clearly defined guardrails, learns as you interact with it and provides precise answers. LLM analytics ultimately fulfills the role of a junior analyst for organizations. Agentic AI plays the role of a manager or expert analyst. It teaches itself new things, researches things on its own and delivers insights autonomously. The key differentiator for agentic AI analytics is its proactive nature—it delivers valuable insights without needing explicit requests or prompts. For instance, consider a consumer goods company specializing in beverages. An AI agent could proactively alert business users that sales of a seasonal product line, such as flavored seltzers, are projected to decline significantly over the next quarter due to shifting consumer preferences. At the same time, AI could highlight emerging trends, such as rising interest in non-alcoholic spirits, recommending that the company explore opportunities in this growing market segment within the upcoming year. As is always the case with AI and analytics, the important thing is that insights support meaningful actions. In the first example, the liquor company might want to consider pivoting away early from the declining category before sales tank. In the second example, they would want to think about launching a new product to get ahead of their competitors. Here are the features that define early-stage generative AI analytics solutions: • Rule-Based: Performs only the tasks it's explicitly programmed to do • Opaque: Offers answers without explaining how it reached them • Tool-Limited: Can only operate within a fixed set of preloaded tools • Inflexible: Needs manual corrections or instructions to adapt • Requires Oversight: Relies heavily on expert oversight to function properly Here's how agentic AI analytics contrasts in the same categories: • Autonomous Decision Making: Weighs options and makes choices independently • Explainable: Clearly shows how it reached its conclusions • Tool-Agnostic: Can choose and use tools on its own as needed • Self-Adaptive: Adjusts behavior in real time without external input • Self-Monitoring: Performs built-in checks to stay compliant and accurate Don't Fall For Regular GenAI Posing As Agentic AI The AI market is evolving rapidly. It can be difficult for enterprises to make heads or tails of all the various moving parts. Complicating things further—and this is always the case with the rise of significant new technologies—there are a lot of vendors that cling to buzzwords even when they don't fit their offerings. Organizations looking to leverage agentic AI to accelerate their analytics efforts need to be careful not to fall for plain generative AI that rebrands itself as agentic. This will become less of a problem as the agentic AI market matures and winners and losers emerge within the next two to three years. In the near term, organizations will just have to do a little research. The best place to start is with this checklist, reflecting the points I hit above. Agentic AI analytics should: 1. Make decisions independently. 2. Explain reasoning. 3. Use tools autonomously. 4. Self-correct and adapt on its own. 5. Be overseen by verifiers to ensure optimal accuracy. A Step Further: Multi-Agent Networks Looking even further ahead, agentic AI gets even more groundbreaking. Eventually, singular AI agents will evolve into multi-agent networks. Here, several AI agents will connect into a network with broader access to enterprise datasets, tools, models and domain context. These agents will be highly goal-driven and capable of completing more complex tasks that span multiple systems within a business. AI Agents: Transforming Enterprise Analytics In 2026 And Beyond AI continues to develop at a breakneck pace. It wasn't long ago that LLMs were a brand new, cutting-edge way to support analytics. It should be repeated that traditional GenAI is still a fantastic, powerful method to improve analytics workflows and uncover more insights. However, AI agents are going to raise the bar. The tech is still in its nascent stage, though the market will start to take shape in a year or so, delivering insights that will prove transformative for organizations across the spectrum. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Entrepreneur
04-06-2025
- Business
- Entrepreneur
Breaking the Cycle of Early Business Failure: Centida BI & Analytics on the Power of Data-Driven Planning
When organizations lack the tools to adjust plans based on shifting market realities, it doesn't matter if due to new regulations, inflation spikes, or geopolitical developments, they're planning blind You're reading Entrepreneur United Kingdom, an international franchise of Entrepreneur Media. Numerous new businesses open doors with ambition, vision, and optimism every year. Unfortunately, approximately 20% fail within the first year. Similarly, about 50% don't survive beyond five years. Cash flow issues, poor marketing, or misreading customer needs are some of the usual reasons behind this trend. However, the underlying cause can run deeper. The failure can stem from decision-making, which, in today's fast-moving environment, is impossible without data. Centida BI & Analytics, known for management consulting and strategic technology implementation, has observed why the business mortality rate is so high. Founded and led by seasoned experts, it has built a unique, integrated approach that combines business expertise and cutting-edge analytics. CEO and Managing Director Christian Barte has leveraged his over two decades in executive finance and management roles across international enterprises to inform Centida's approach. He has vast experience in unlocking business performance, from building profitability analytics systems at global telecoms to leading finance transformation initiatives at multinational corporations. With a strong educational foundation spanning business schools in Germany, France, and the United States, Barte brings a global perspective to local business challenges. His formal training in artificial intelligence (AI) and data visualization further equips him to guide clients through today's AI-powered business environment. Alongside Barte is CTO and Managing Partner Ilya Fedorkov. His background in digital transformation and data science positions him at the forefront of business intelligence (BI) innovation. His hands-on expertise in performance management, financial controlling, and enterprise-wide data strategy ensures that Centida's technical solutions are truly transformative. This leadership has enabled Centida to learn about trends in the business environment, including the reasons companies fail. The company recognizes that many of the failures revolve around the inability to utilize data effectively. One can argue that technology evolves by the week. Hence, businesses clinging to static planning models or outdated tools are at a disadvantage. Rigid annual budgets, manual forecasting, and intuition-based decision-making leave organizations vulnerable to disruption, especially when competitors are leveraging real-time data and AI-enhanced insights. Economic volatility heightens the stakes. Modern businesses must plan accordingly with supply chain upheavals and unpredictable customer payment behaviors in mind. "When organizations lack the tools to adjust plans based on shifting market realities, it doesn't matter if due to new regulations, inflation spikes, or geopolitical developments, they're planning blind," says Fedorkov. Centida also points to overengineering products or services without clearly understanding market demand as another issue. "A technically brilliant product will still fail if it doesn't meet a real customer need," Barte states. Companies usually falter in their go-to-market strategy because they don't truly understand their customer, their pricing flexibility, or the most effective sales channels. "Even businesses with enough funding might struggle to generate cash flow if there's no clarity, especially if they underestimate working capital needs or overestimate the speed of returns," Barte adds. Centida notes that these issues aren't exclusive to startups. Mid-sized and enterprise-level companies can face similar risks, especially when leadership changes or market stagnation sets in. Barte shares an example: "There's a trend in accounts receivable delays, where larger buyers now push payment terms from 30 to 180 days. For suppliers who don't account for this liquidity gap in their planning, the consequences can be fatal." What's the solution? Centida asserts that it begins with recognizing that data isn't just a support tool. It's the core of modern business strategy. Data analytics enables organizations to move from reactive to proactive planning. It eliminates guesswork, clarifies direction, and provides early warnings when performance veers off course. When properly applied, data aligns operations with strategic goals, provides realistic scenario planning, and ensures business decisions are made on facts. "You need to adapt if you want to survive in this landscape. And data is the key to adaptability," Fedorkov remarks. Centida operationalizes this philosophy, distinguishing itself by the way it works with clients. If other firms deliver cookie-cutter dashboards or plug-and-play solutions, Centida engages deeply with the business itself. It doesn't only translate business needs into information technology (IT) requirements. The firm speaks both languages fluently. This eliminates the information gaps that typically emerge in large-scale implementations. "Our approach of combining the strategic vision of consultants with the technical know-how of systems architects means we design solutions that reflect what's actually needed," Barte says. This comprehensive approach is why Centida is seen as a partner of choice for organizations struggling with uncertainty. Indeed, most businesses fail not because they lack ambition but because they lack insight. Centida BI & Analytics empowers organizations with the intelligence, structure, and agility they need to thrive in a fast-changing world. The Centida founders further share insightful advice for business owners and aspiring entrepreneurs. Fedorkov emphasizes that the foundation of a resilient business lies in uniting data and decision-making under the same roof. "Get rid of silos and ensure that your business teams take ownership of data-driven processes, not just IT," he says. "It's important to develop a solid understanding of the data you rely on." The most successful cases he's seen are when business people actively shape and guide the digital solutions they use, not delegate them. True resilience emerges when data and business expertise are intertwined, owned, and steered from within the organization. Meanwhile, Barte's advice centers around radical customer focus. He urges entrepreneurs to invest substantial time, then double it, into understanding who their customers truly are. "Knowing your product isn't enough," he states. "Knowing how to reach the right people through the right channels, partners, and tools is essential." Beyond that, he stresses the importance of building an adaptable model that guides one's business strategy and helps track its real-time performance. He adds: "If your efforts drift off course, that model should show exactly where and why, so you can recalibrate fast and keep moving forward."
