Analytics Compliance Machine Learning Scalability 
CIO
OCTOBER 13, 2023
In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).
CIO
APRIL 30, 2024
AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%
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O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.
CIO
OCTOBER 3, 2023
However since then great strides have been made in machine learning and artificial intelligence. Mordor Intelligence sees the increasing incorporation of machine learning tools into hyperautomation products as being one of the main drivers of market growth. It’s been around since the early 2000s. This is hyperautomation.
CIO
MARCH 26, 2024
In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Last June, for example, Dun & Bradstreet launched D&B.AI
CIO
MARCH 24, 2023
They must be accompanied by documentation to support compliance-based and operational auditing requirements. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. Data-related decisions, processes, and controls subject to data governance must be auditable.
CIO
DECEMBER 19, 2023
Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization. This is especially important for government agencies, which often have strict security and privacy requirements that need to be met when handling sensitive information.
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