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Agentic AI is having a moment, as proponents see the benefits of using autonomous AI agents to automate manual tasks across organizations. Agentic AI, which Forrester named a top emerging technology for 2025 in June , takes generative AI a step further by emphasizing operational decision-making rather than content generation. The promise the approach has for impacting business workflows has organizations such as Aflac, Atlantic Health System, Legendary Entertainment, and NASA’s Jet Propulsion La
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable.
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s
Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.
Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. “It is clear that no matter where we go, we cannot avoid the impact of AI,” Daryl Plummer, distinguished vice president analyst, chief of research and Gartner Fellow told attendees. “AI is evolving as human use of AI evolves.
Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. Since then, several organizations have begun using the technology , and major vendors such as Salesforce and ServiceNow have offered AI agents to customers. Agentic AI focuses on performing specific tasks and emphasizes operational decision-making instead of the content generation often associated with gen AI
Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. Since then, several organizations have begun using the technology , and major vendors such as Salesforce and ServiceNow have offered AI agents to customers. Agentic AI focuses on performing specific tasks and emphasizes operational decision-making instead of the content generation often associated with gen AI
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey.
While the ROI of any given AI project remains uncertain , one thing is becoming clear: CIOs will be spending a whole lot more on the technology in the years ahead. Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028. Those bullish numbers don’t surprise many CIOs, as IT leaders from nearly every vertical are rolling out generative AI proofs of concept, with some already in production.
Anthropic’s Claude 3.5 Sonnet large language model has gained a new ability: operating a computer. The new ability, which the company is calling “computer use,” is currently in beta test. It enables developers to instruct Claude 3.5 Sonnet, through the Anthropic API , to read and interpret what’s on the display, type text, move the cursor, click buttons, and switch between windows or applications — much as today’s robotic process automation (RPA) tools can be instructed — much more laboriously
CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
CIO Jason Birnbaum has ambitious plans for generative AI at United Airlines. With the core architectural backbone of the airlines gen AI roadmap in place, including United Data Hub and an AI and ML platform dubbed Mars, Birnbaum has released a handful of models into production use for employees and customers alike. Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Stor
Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. At Google’s parent company, she worked with moonshot companies such as Waymo, Wing, and X, to shape sustainable businesses and global impact.
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions. But pioneering technologists are working on a potential game changer that goes some way to address these issues: photonics.
In a world where uncertainty and change are constant, scenario planning empowers companies with the agility and competitive edge needed to thrive. Download the toolkit to fortify your business strategy , set up your competitive positioning , and ensure your company is poised to respond to any future scenario.
In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value.
When your CEO or CFO asks about the budget needed for technical debt remediation , do you find yourself struggling to justify the investment? You’re not alone. While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 trillion annually — translating this into compelling business language for the board remains a persistent challenge.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way.
Just as Japanese Kanban techniques revolutionized manufacturing several decades ago, similar “just-in-time” methods are paying dividends as companies get their feet wet with generative AI. “The timeliness is critical. You don’t want to do the work too much in advance because you want that real-time context. We activate the AI just in time,” says Sastry Durvasula, chief information and client services officer at financial services firm TIAA.
Whether your organization is at the start of its sustainability and impact journey or years into it, many brands share a common concern: the uncertainty of whether they are sending stakeholders mixed messages. Creating content that speaks to your audience's “love language” can be a tricky dance. But, worry not! 3BL has put together tips to ensure that your content not only finds its rhythm but also resonates with your target audiences.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations.
Los CIO que sienten la presión de implementar proyectos de inteligencia artificial (IA) exitosos tienen una segunda preocupación: no tienen el presupuesto para llevarlo a cabo. El 90% de los CIO encuestados recientemente por Gartner afirman que la gestión de los costes de la IA limita su capacidad para obtener valor de esta tecnología. Además, si los CIO no comprenden plenamente el coste de escalar la IA generativa, podrían cometer errores de cálculo de entre el 500% y el 1.000% , según Hung
As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data.
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives.
Leaders in competitive intel know that the employees who interact with customers and prospects every day hold valuable competitive insights that could help win sales. But they don’t have a good plan or system to gather, organize, and share these insights with the stakeholders who need them. In this eBook, we outline 7 strategies to make it easier to build and scale an employee sharing program that will drive competitive advantage.
Analysts predict the incoming phase of enterprise AI will herald agentic systems that require minimal human intervention, with 75% of CIOs increasing their AI budgets during this year alone, according to a recent report from Gartner. As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs.
For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out.
An AI-powered transcription tool widely used in the medical field, has been found to hallucinate text, posing potential risks to patient safety, according to a recent academic study. And that tool is being used in a commercial medical transcription product that, worryingly, deletes the underlying audio from which transcriptions are generated, leaving medical staff no way to verify their accuracy, AP News reported on Saturday.
Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. Nutanix commissioned U.K. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy.
ChatGPT has dominated boardroom conversations for months now. From drafting a stock trading program, to creating a SQL query to model data, there are practically no limits to the applications of the AI language model assistant. At ManageEngine, we have been working on our own AI-assistant, Zia. Zia is a fully-trained analytics assistant that can perform a range of functions such as creating and adding reports to dashboards, providing conversational support to data analysis, insight discovery, bu
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