CIO
JUNE 30, 2023
It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. To win the game, you need a modern, future-proof business plan.
O'Reilly Media - Data
JULY 23, 2018
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".
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Xicom
JUNE 10, 2019
You already have special kinds of locking system been used on your phones that involve Artificial Intelligence based face recognition. Hence we can expect that Artificial Intelligence has come to a stage when it will start affecting much of our daily lives. Thus the Future of artificial intelligence looks very bright.
CIO
NOVEMBER 7, 2023
Modern advancements like artificial intelligence (AI) machine learning and blockchain-based networks specifically have an impact in this area. Cybercriminals specifically target sectors such as healthcare, energy, and transportation, recognizing the significant consequences at stake.
Apiumhub
NOVEMBER 15, 2023
Internet of Things in Various Industries IoT has made a significant impact across industries, such as agriculture (precision farming), healthcare (remote patient monitoring), manufacturing (smart factories), transportation (connected cars), and smart cities (efficient urban management).
OTS Solutions
MAY 2, 2023
Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.
Confluent
FEBRUARY 6, 2019
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.
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