Dataversity

JANUARY 19, 2024

Stressed to the limit and buried under busy work, IT teams were told to “do more with less” in 2023. That meant that despite more shadow IT, more security vulnerabilities, and more questions, these tech pros were equipped with the same resources or fewer. Now, as we look at a new year with new opportunities, […] The post 2024: When IT And AI Collide appeared first on DATAVERSITY.

Digital Transformation 111

Digital Transformation Education 111

InfoQ Articles

JANUARY 19, 2024

In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.

Engineering 105

Engineering 105

Dataversity

JANUARY 19, 2024

Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives. Data has become […] The post Putting a Number on Bad Data appeared first on DATAVERSITY.

Government 72

Government Education 72

Packet Pushers

JANUARY 19, 2024

On todays episode, we discuss networking sources of truth. Thats right, sources of truth, because youre likely to have more than one depending on your environment and your point of view. On LinkedIn, Ethan Banks quoted someone at the AutoCon0 conference who essentially said that the network itself shouldnt be used as a source of. Read more » On todays episode, we discuss networking sources of truth.

Banking 52

Banking Networking Network 52