Agile Artificial Inteligence Business Analytics Compliance 
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".
Gorilla Logic
MAY 19, 2021
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. . Let’s talk.
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Apps Associates
AUGUST 3, 2023
The Life Science industry is experiencing a revolutionary transformation through the application of automation, helping to modernize critical areas of operation such as Research, Supply Chain and Regulatory compliance. Automation has the ability to reduce costs, boost productivity, and enhance quality control for Life Science organizations.
Cloudera
FEBRUARY 24, 2021
Deloitte emphasizes that going forward, financial services will need to have “greater focus on agility and efficiency, flattening hierarchies, speeding up decision-making, empowering staff, creating flexible work environments.” Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future.
Cloudera
JANUARY 14, 2021
Maximizing Supply Chain Agility through the “Last Mile” Commitment. In my earlier blogs, we demonstrated some pretty remarkable benefits from the use cases associated with improving customer insight (producing relevant offer response time) or improving supply chain agility (saving nearly $21m/year in product delivery costs).
CIO
JUNE 8, 2023
The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies. Bringing agility and speed to meet the user objectives is a must.
Altexsoft
FEBRUARY 8, 2021
To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.
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