CIO
MARCH 13, 2024
Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. Tuttavia, in generale, se l’IA ha lavorato sui big data è difficile che il risultato non sia affidabile”.
Altexsoft
SEPTEMBER 6, 2018
Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. For instance, we had such a case in our work.
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Altexsoft
APRIL 13, 2023
Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. According to the PwC 2023 Digital Trends in Supply Chain Survey , 86 percent of respondents believe they should invest more in technology to identify, track, and measure supply chain risk.
Altexsoft
FEBRUARY 22, 2022
Besides, such an approach is associated with safety risks, unaffordably big downtime, and decreased useful life of the equipment. Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Prevention is better than cure.
O'Reilly Media - Ideas
FEBRUARY 20, 2019
An overview of emerging trends, known hurdles, and best practices in artificial intelligence. That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption. Moreover, few schools have resources to act on that data in aggregate.
Altexsoft
FEBRUARY 8, 2021
diversity of sales channels, complex structure resulting in siloed data and lack of visibility. And planning, in turn, relies on understanding of current performance, past trends, existing risks, and possible future scenarios. Managing a supply chain involves organizing and controlling numerous processes.
iTexico
SEPTEMBER 11, 2019
More and more businesses are hopping on the AI bandwagon, exploiting it in any range of uses from facial recognition to Big Data analysis. Data is, after all, its bread and butter. At this point, any company that doesn’t take advantage of the AI trend will soon find itself falling behind in performance and delivery.
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