Generative AI has created an unprecedented pace of technological change, but complications of choosing AI vendors have grown in equal measure. So tech leaders need to be equipped with the right questions — and be prepared for answers — to help enterprises prosper.
Weighing risk and reward with gen AI vendor selection Read More »
As companies race to add generative models into products and workflows, massive investment to upskill workforces on prompt engineering and ethical AI emerges as a top priority.
Upskilling ramps up as gen AI forces enterprises to transform Read More »
Regulatory pressure is driving IT teams to invest in more efficient servers and storage and improve their data-center reporting capabilities.
Data centers unprepared for new European energy efficiency regulations Read More »
Right-sizing workloads, upgrading to newer servers, and managing power consumption can help enterprises reach their data center sustainability goals.
5 ways to boost server efficiency Read More »
Code vulnerability is not only a risk of open-source code, with many legacy systems still in use — whether out of necessity or lack of visibility — the truth is that cybersecurity teams will inevitably need to address the problem.
3 ways to fix old, unsafe code that lingers from open-source and legacy programs Read More »
Manufacturing, transportation and logistics lead the way among the top industry verticals for private 5G deployments.
8 top industries for private 5G Read More »
Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper.
5 ways to deploy your own large language model Read More »
Businesses are using DLP tools to help secure generative AI and reduce risks of ChatGPT and similar applications.
Data loss prevention vendors tackle gen AI data risks Read More »
Traditional data stacks differ from modern data stacks in the use of cloud and advanced analytics tools. Update on-premises data stacks to gain niche advantages over cloud options.
Do traditional data stacks have a use versus modern options? Read More »
Flexibility and willingness to learn are prized over specialization. SASE, SD-WAN and ZTNA skills are in demand.
Hot (and not hot) networking skills Read More »
Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists.
4 reasons why gen AI projects fail Read More »
In 2022, the big AI story was the technology emerging from research labs and proofs-of-concept, to it being deployed throughout enterprises to get business value. This year started out about the same, with slightly better ML algorithms and improved data pipelines. But that seems so long ago now. And in the few months left of 2023, change could further offset what we’ve come to expect.
The year’s top 10 enterprise AI trends — so far Read More »
Enterprise software vendors of all stripes are beginning to add generative AI features to their applications. Here’s how Stream Financial, NFP, and Thomson Reuters are (cautiously) taking advantage of the technology.
How companies are putting embedded genAI to good use Read More »
With growing adoption of zero trust, CISOs must look at all possible blind spots across the organization, be that unmonitored IoT devices or third-party systems, to ensure attackers can’t find a way in.
5 areas where zero trust can’t protect your organization Read More »
In addition to controlling the use of ChatGPT and other standalone tools, companies now have to grapple with generative AI being built into the productivity apps their employees use every day
GenAI in productivity apps: What could possibly go wrong? Read More »
