Latest news with #AnswerRocket
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?
Business Wire
22-04-2025
- Business
- Business Wire
AnswerRocket Acquires Cognitive Spark to Accelerate Agentic AI Transformation for Enterprises
ATLANTA--(BUSINESS WIRE)--AnswerRocket, a pioneer in enterprise AI solutions since 2013, today announced the acquisition of Cognitive Spark, a management consulting firm that specializes in developing advanced data science and machine learning algorithms for enterprises. Cognitive Spark's team immediately strengthens the company's ability to transform complex data science into accessible insights through agentic AI. "Our acquisition of Cognitive Spark directly tackles the 'last mile problem' of data science, where valuable data insights often fail to reach decision-makers," said Jim Johnson, Managing Partner of AI Solutions and Consulting at AnswerRocket. Share The integration of Cognitive Spark's capabilities with AnswerRocket's consulting practice and its agentic Max AI platform will enable clients to: Close the gap between strategic business initiatives and technical capabilities Transform data science from a specialized function to an enterprise-wide capability Solve complex business problems through custom machine learning algorithms and accurate data foundations Deploy AI agents that autonomously perform advanced statistical analysis Reduce time-to-insight from weeks to minutes for business decision-makers Maintain enterprise-grade governance and security for AI-powered analytics Making Advanced Analytics Accessible with Agentic AI Enterprises today invest millions in data science capabilities yet struggle to translate this investment into business impact. The disconnect between sophisticated analytical models and business decision-makers creates a costly gap where valuable insights remain trapped within specialized teams. AnswerRocket's expanded capabilities address this challenge through agentic AI solutions that solve critical business problems and deliver actionable insights. Cognitive Spark's expertise will enable AnswerRocket to create and deploy intelligent AI agents that automate complex data science routines for various use cases, such as pricing optimization, demand forecasting, and predictive customer analytics. Providing AI agents with data science tools makes advanced analytics accessible and actionable for business users, via AnswerRocket's Max AI or the customer's preferred agentic platform. Ensuring Data Readiness for Enterprise AI Adoption Critical to any successful AI implementation is the quality and accuracy of the underlying data. The combined expertise of AnswerRocket and Cognitive Spark addresses this foundational challenge through comprehensive data readiness services, including data engineering, data cleansing, and data harmonization. These capabilities ensure that AI solutions operate on reliable information, producing trustworthy insights that executives can confidently use for strategic decision-making. This end-to-end approach addresses the entire AI value chain, from data preparation and quality assurance to advanced analytics and business-ready insights. Strategic Expansion of AI Consulting Practice "Our acquisition of Cognitive Spark directly tackles the 'last mile problem' of data science, where valuable data insights often fail to reach decision-makers," said Jim Johnson, Managing Partner of AI Solutions and Consulting at AnswerRocket. "By joining agentic AI and data science, we can make advanced analytics broadly available to business users, enabling them to confidently make critical decisions on a daily basis." Cognitive Spark brings extensive experience in advanced analytics across multiple industries, including retail, financial services, healthcare, and construction. The Cognitive Spark team will be joining AnswerRocket, led by Andrew Sweet, current CEO of Cognitive Spark, who will serve as Vice President, Enterprise AI Solutions. "Joining AnswerRocket creates an unparalleled opportunity to scale the impact of advanced data science," said Sweet. "Organizations often struggle to bridge sophisticated analytics and practical business applications. By combining our expertise with AnswerRocket's agentic AI services, we're making advanced analytics truly accessible and driving real business impact." About AnswerRocket Founded in 2013, AnswerRocket is an enterprise AI solutions company that helps organizations achieve measurable results through AI transformation. The company provides end-to-end services including AI strategy and advisory, data architecture and engineering, custom AI solution development, operationalization and adoption support, and ongoing evolution of AI implementations. The company's proprietary frameworks and accelerators–including its agentic AI platform, Max AI–enable rapid development of enterprise-grade AI solutions that seamlessly integrate with existing infrastructure. For more information, visit About Cognitive Spark Cognitive Spark is a specialized data science firm focused on developing advanced machine learning algorithms and AI solutions for enterprise applications. Cognitive Spark's team of data scientists and AI specialists excels at creating custom predictive models and automated analytics solutions that deliver measurable business impact. The firm's distinctive management consulting practice bridges the critical gap between technical capabilities and strategic business objectives, helping C-suite executives transform data insights into actionable corporate strategies and operational improvements. For more information, visit
Associated Press
22-04-2025
- Business
- Associated Press
AnswerRocket Acquires Cognitive Spark to Accelerate Agentic AI Transformation for Enterprises
ATLANTA--(BUSINESS WIRE)--Apr 22, 2025-- AnswerRocket, a pioneer in enterprise AI solutions since 2013, today announced the acquisition of Cognitive Spark, a management consulting firm that specializes in developing advanced data science and machine learning algorithms for enterprises. Cognitive Spark's team immediately strengthens the company's ability to transform complex data science into accessible insights through agentic AI. This press release features multimedia. View the full release here: AnswerRocket Acquires Cognitive Spark to Accelerate Agentic AI Transformation for Enterprises The integration of Cognitive Spark's capabilities with AnswerRocket's consulting practice and its agentic Max AI platform will enable clients to: Making Advanced Analytics Accessible with Agentic AI Enterprises today invest millions in data science capabilities yet struggle to translate this investment into business impact. The disconnect between sophisticated analytical models and business decision-makers creates a costly gap where valuable insights remain trapped within specialized teams. AnswerRocket's expanded capabilities address this challenge through agentic AI solutions that solve critical business problems and deliver actionable insights. Cognitive Spark's expertise will enable AnswerRocket to create and deploy intelligent AI agents that automate complex data science routines for various use cases, such as pricing optimization, demand forecasting, and predictive customer analytics. Providing AI agents with data science tools makes advanced analytics accessible and actionable for business users, via AnswerRocket's Max AI or the customer's preferred agentic platform. Ensuring Data Readiness for Enterprise AI Adoption Critical to any successful AI implementation is the quality and accuracy of the underlying data. The combined expertise of AnswerRocket and Cognitive Spark addresses this foundational challenge through comprehensive data readiness services, including data engineering, data cleansing, and data harmonization. These capabilities ensure that AI solutions operate on reliable information, producing trustworthy insights that executives can confidently use for strategic decision-making. This end-to-end approach addresses the entire AI value chain, from data preparation and quality assurance to advanced analytics and business-ready insights. Strategic Expansion of AI Consulting Practice 'Our acquisition of Cognitive Spark directly tackles the 'last mile problem' of data science, where valuable data insights often fail to reach decision-makers,' said Jim Johnson, Managing Partner of AI Solutions and Consulting at AnswerRocket. 'By joining agentic AI and data science, we can make advanced analytics broadly available to business users, enabling them to confidently make critical decisions on a daily basis.' Cognitive Spark brings extensive experience in advanced analytics across multiple industries, including retail, financial services, healthcare, and construction. The Cognitive Spark team will be joining AnswerRocket, led by Andrew Sweet, current CEO of Cognitive Spark, who will serve as Vice President, Enterprise AI Solutions. 'Joining AnswerRocket creates an unparalleled opportunity to scale the impact of advanced data science,' said Sweet. 'Organizations often struggle to bridge sophisticated analytics and practical business applications. By combining our expertise with AnswerRocket's agentic AI services, we're making advanced analytics truly accessible and driving real business impact.' About AnswerRocket Founded in 2013, AnswerRocket is an enterprise AI solutions company that helps organizations achieve measurable results through AI transformation. The company provides end-to-end services including AI strategy and advisory, data architecture and engineering, custom AI solution development, operationalization and adoption support, and ongoing evolution of AI implementations. The company's proprietary frameworks and accelerators–including its agentic AI platform, Max AI–enable rapid development of enterprise-grade AI solutions that seamlessly integrate with existing infrastructure. For more information, visit About Cognitive Spark Cognitive Spark is a specialized data science firm focused on developing advanced machine learning algorithms and AI solutions for enterprise applications. Cognitive Spark's team of data scientists and AI specialists excels at creating custom predictive models and automated analytics solutions that deliver measurable business impact. The firm's distinctive management consulting practice bridges the critical gap between technical capabilities and strategic business objectives, helping C-suite executives transform data insights into actionable corporate strategies and operational improvements. For more information, visit View source version on CONTACT: Tate Mikkelsen C: 347-453-0910 E:[email protected] KEYWORD: UNITED STATES NORTH AMERICA GEORGIA INDUSTRY KEYWORD: PROFESSIONAL SERVICES DATA MANAGEMENT DATA ANALYTICS TECHNOLOGY SOFTWARE CONSULTING ARTIFICIAL INTELLIGENCE SOURCE: AnswerRocket Copyright Business Wire 2025. PUB: 04/22/2025 09:20 AM/DISC: 04/22/2025 09:19 AM
