CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.
CIO
SEPTEMBER 12, 2022
The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.
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TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.
CIO
AUGUST 7, 2023
And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%. It does not allow for integration of proprietary data and offers the fewest privacy and IP protections.
Altexsoft
JUNE 6, 2019
Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds.
Altexsoft
JANUARY 27, 2022
In this post, we explore what’s going on behind the scenes of traffic prediction, which data is used, which technologies and algorithms are implemented, and how to get that desired forecast to your screen. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse. street lights).
O'Reilly Media - Ideas
JANUARY 8, 2019
Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning.
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