This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
By Bryan Kirschner, Vice President, Strategy at DataStax Today, we’re all living in a world in which “humans with machines will replace humans without machines”—for the second time. The first time around, smartphone apps became ubiquitous and indispensable machines that just about everyone uses to get things done. This time, generative AI applications will become ubiquitous and indispensable machines that just about everyone uses to do things on their behalf.
With a daunting array of tools, an endless list of growth strategies, and constantly evolving communication channels, there’s compelling evidence that modern work is facing a crisis of disconnection. And that makes a cohesive, connected go-to-market (GTM) strategy more valuable than ever. At this year’s INBOUND conference , I attended ZoomInfo’s session “GTM for All: Unlocking Playbooks for Every Company,” which provided valuable insights into how companies can connect these disparate thre
As countless organizations race to investigate or adopt artificial intelligence technologies, many are building out an AI skilled workforce. That includes the decision to appoint or hire a chief artificial intelligence officer (CAIO). Indeed, new research from Foundry finds that 11% of midsize to large organizations have already designated such an individual in the role, and another 21% of organizations are actively seeking one.
The dust has settled on the recent Domo Connections Tour in Australia. For those who may not know, the Connections Tour is one of Domo’s key customer events (the other being Domopalooza ), where executives and technical staff share the latest Domo strategy and product updates in a roadshow format. This year, for the first time, the Connections Tour was extended to include Sydney and Melbourne, representing Domo Asia-Pacific and the local Domo customer community.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
For Kyndryl CIO Michael Bradshaw, the clock started ticking in November 2021 when the former managed infrastructure services division of IBM was spun out as a separate entity and given two years to disentangle its IT systems from IBM’s. “We had a 24-month transition services agreement,” he says. With that deadline came a dilemma: “Do we just focus on transition, then start thinking about what transformation looks like,” he says, “or do we use this as an opportunity and compress the cycle to driv
In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage. According to recent research by Accenture, only 25% of organizations are […] The post Transforming Data Management with AI-Driven Data Catalogs appeared first on DATAVERSITY.
In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage. According to recent research by Accenture, only 25% of organizations are […] The post Transforming Data Management with AI-Driven Data Catalogs appeared first on DATAVERSITY.
Complexity is the bane of all network security teams, and they will attest that the more dashboards, screens, and manual integration they must juggle, the slower their response time. It need not be complex, it need not be disjointed, nor does it need to require adroitness in the art of juggling. Your network makes engagement with customers, suppliers, and your workforce possible and must include a comprehensive security solution with consistent experiences across the board.
Over the past few months, generative artificial intelligence ( genAI ) has revolutionized countless industries —consulting being no exception. There’s a myriad of tools derived from this technology on the market today that not only enhance a consultant’s workflow but benefit their clients. For consultants, this iteration of artificial intelligence can analyze data and improve decision-making, as well as problem-solving—ultimately streamlining hours, if not days, of work.
In the dynamic realm of business, staying ahead is pivotal. Competitive intelligence (CI) professionals can leverage a wide array of tools for in-depth competitive intelligence analysis, dissecting financial data and scrutinizing executive teams to unlock the coveted competitive advantage. The strategic centerpiece is a well-structured competitive intelligence report, transcending data collection to guide businesses through the competitive landscape, exposing direct competitors' strategies and d
The White House’s new executive order, “ Safe, Secure, and Trustworthy Artificial Intelligence ,” is poised to usher in a new era of national AI regulation, focusing on safety and responsibility across the sector. But will it? The executive order represents the U.S. government’s opening salvo in creating a comprehensive regulatory framework for AI, applicable both in the federal government and the private sector.
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.
In the constantly changing regulatory landscape, staying ahead of the curve is not just an advantage - it's a necessity to ensure business success. This is where the need for effective regulatory intelligence training comes into play. But what exactly is regulatory intelligence (RI), and why is it so crucial for professionals in the field? Let's delve into the details.
We organize all of the trending information in your field so you don't have to. Join 11,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content