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
To solve the problem, the company turned to gen AI and decided to use both commercial and opensource models. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. So we augment with opensource, he says. Right now, the company is using the French-built Mistral opensource model.
Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. For example, he says, 10-year-old source code might no longer compile properly on a modern computer. Take Avantia, for example, a global law firm, which uses both commercial and opensource gen AI to power its agents.
Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity. Data architecture components A modern data architecture consists of the following components, according to IT consulting firm BMC : Data pipelines.
Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. But the entire process will need to be reinvented in order to make full use of the technology, says Monteiro. Take for example that task of keeping up with regulations.
Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets. During hos two decades as an analyst, Mr. Adrian headed IT Market Strategy, an independent market research consultancy.
Companies that fail to build their own AI agents will turn to outside AI consulting firms to build custom agents for them, or they will use agents embedded in software from their current vendors, write Forrester analysts Jayesh Chaurasia and Sudha Maheshwari. Kumar adds. Start with one [AI model], and you can start tailoring its behavior.
Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets. During hos two decades as an analyst, Mr. Adrian headed IT Market Strategy, an independent market research consultancy.
This on-demand approach also vastly reduces the upfront costs of buying processors and scales up or down based on workload, notes Tom Richer, a former CIO and current CEO of CloudBench, a Google Partner and CIO consultancy. “To RunPod is a GPU-as-a-service for developers that is very cost effective for universities and startups.
Since IBM’s software business has been on the rise in recent times and its consultingbusiness is not doing that great, this (HashiCorp’s acquisition) makes a right fit there,” said Techarc’s chief analyst and founder, Faisal Kawoosa.
The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. You now have the ability to jump over processes that have existed for years, sometimes decades, because of generative technology.” Open-source AI Opensource has long been a driver of innovation in the AI space.
You need to know where the data’s coming from, how it’s transformed, and what the outputs are,” says Nick Amabile, CEO at DAS42, a data consulting firm. As companies mature in their understanding and use of gen AI, they’ll have to put safeguards in place, says Juan Orlandini, CTO, North America at Insight, a Tempe-based solution integrator.
Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. Putting aside the fact this is an astronomically high adoption rate for a brand new technology, it’s also an indicator of how risky this space is. Unless the vendor did something special.
Data and API infrastructure “Data still matters,” says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at London-based independent analyst and consultancy Omdia. It quickly adds up in complexity,” says Sheldon Monteiro, EVP at Publicis Sapient, a global digital consultancy.
“The inflated expectations were so inflated from the early days and have kept on, and I think this is going to be a pretty deep trough of disillusionment,” says Chris Stephenson, managing director of intelligent automation, AI, and digital services at IT consulting firm alliantgroup, affirming Gartner’s hype cycle.
By Reed Peterson, Field CTO, Telecom, DataStax. How important is opensource software and the innovation it provides? Opensource is very important, and I believe it’s a key way to accelerate innovation. Companies should keep in mind, though, that the opensource community is a give-and-take.
Chief Security Architect, Office of the CTO, Cloudera. Proven Strategies for Promoting Innovation and Technology Adoption. Chief Security Architect, Office of the CTO, Cloudera. Chief Security Architect, Office of the CTO, Cloudera. Data Security—What’s New and What’s Next?
Chief Security Architect, Office of the CTO, Cloudera. Proven Strategies for Promoting Innovation and Technology Adoption. Chief Security Architect, Office of the CTO, Cloudera. Chief Security Architect, Office of the CTO, Cloudera. Data Security—What’s New and What’s Next?
So the CIO, the technologies they deploy, and the partnerships they form are essential to the future of a more environmentally sustainable way of doing business. Key to this is a greater understanding of business operations and their production of CO2, or use of unsustainable practices and resources.
You don’t want an LLM to guess what’s in a PDF that’s been sitting in your archive for 10 years — especially if it’s your most important contract.” We use an opensource model that we’ve tuned to this specific application.” “Purely using LLMs won’t provide the reliability needed for critical data tasks,” Vermeir says.
Whether you sell cars, candy, consulting, or construction, software is moving to the center of your business. Martin-Flickinger, who, before Adobe, was CIO of McAfee and VeriSign, became CTO of Starbucks for many years. So congratulations! You’ve become (or will become) what is, essentially, a software company CIO.
It’s up to CIOs themselves to expand their role in the enterprise by moving into business areas once considered off-limits or, until recently, didn’t even exist. Today’s CIO must adapt and become a business strategist, a digital innovator, and an orchestrator for business.”. Are you up to the task? Seek external advice.
As Seth Dobbs, CTO at Bounteous, explains, “We do creative work. This is true for every technology company and, increasingly, for nontechnology companies seeking to implement technical solutions. And, like your engineers, they live in open-source learning platforms, GitHub, Discord, and Reddit.
Microsoft CTO Kevin Scott compared the company’s Copilot stack to the LAMP stack of Linux, Apache, MySQL and PHP, enabling organizations to build at scale on the internet, and there’s clear enterprise interest in building solutions with these services. A data leakage plan helps here too. “As
For Giridhar Yasa, chieftechnologyofficer at Indian online financing company Lendingkart, it starts with reading. “We This happens through reports like those published by the Reserve Bank of India, industry consulting majors, and technology papers among others,” he told CIO.com.
It makes sense that development is the top agentic AI use case, says Babak Hodjat, CTO of AI at Cognizant. For example, AI agents use opensourceintelligence to hunt for movie leaks and piracy across social media and the dark web. Most of us in AI are software engineers,” he says.
It is my contention that when the total cost of using all your data exceeds what you are able to spend using purpose-built technologies, it is time to consider using a general purpose solution like Hadoop for process offloading. It is important to choose the right technology for your particular use case. What is Big Data? Conclusion.
The first, says Eliot Andres, co-founder and CTO, is to add the latest AI features to the app itself to keep it competitive. As soon as Stable Diffusion, the first open-source diffusion model, came out in mid-2023, the company immediately pivoted. We have consultants who are industry and domain-specific,” he says. “We
“It’s one of the largest deployments of generative AI that I know of,” says David McCurdy, Insight’s chief enterprise architect and CTO. But we sat down and fed it contracts and asked it nuanced questions about them: where are the liabilities, where are the risks,” he says. “But This will be a use case all over the world.”
The Boston Consulting Group, in fact, says companies that have adopted AI early claim 1.5 So how do you reconcile the high failure rates of AI projects and reports of business benefit by early adopters? We built something in-house because we wanted to be more opensource so wed be more adaptable, she says.
Il Boston Consulting Group, infatti, sostiene che le imprese che hanno adottato precocemente lAI dichiarano una crescita dei ricavi 1,5 volte superiore rispetto alle altre aziende. Abbiamo costruito qualcosa internamente perch volevamo essere pi opensource, in modo da essere pi adattabili e poi, a luglio, abbiamo iniziato a utilizzarlo.
We organize all of the trending information in your field so you don't have to. Join 83,000+ 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