Big Data Cloud Development Pharmaceuticals 
CIO Business Intelligence
OCTOBER 13, 2023
Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data scientists are experts in applying computer science, mathematics, and statistics to building models.
Venture Beast
APRIL 27, 2021
Pharmaceutical giant Merck is partnering with startup Seeqc to monitor quantum developments while keeping an open mind. Read More.
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CIO Business Intelligence
SEPTEMBER 18, 2023
According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.
CIO Business Intelligence
FEBRUARY 10, 2023
Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Financial services: Develop credit risk models. from 2022 to 2028.
The Investing Edge
JANUARY 14, 2014
If you are like me, you might be wondering how large the “Internet of Things” could become, and whether it will get the press, hype and activity that “Big Data” has received. Cloud Business Services Internet of Things Google internet of things nest nova analytics sensitech' Christopher W.
CTOvision
JULY 7, 2015
Big data's $1.6B role in DOD's IT strategy - FedScoop FedScoop (Today) - FedScoopBig data's $1.6B role in DOD's IT strategyFedScoopSpecial to FedScoop: A look at the Defense Department's big data plans as outlined at immixGroup's recent FY 16 Big Data Sales Opportunities. When you use a third.
GeekWire
JUNE 11, 2020
Black conducted dozens of interviews with epidemiologists around the world to get a sense of the challenges they were facing, and what she heard helped shape the 10 recommendations listed in the paper published today: Support data hygiene and interoperability by developing and adopting a consistent data model.
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