CIO
MAY 9, 2024
Effective data integration lays the foundation for success in the digital era, from enabling advanced analytics and AI/ML modeling to facilitating real-time decision-making and driving innovation. However, many enterprises face significant challenges in achieving this seamlessly.
CIO
OCTOBER 30, 2023
Data scientists and IT teams must work together to prepare all their data and make it actionable, leveraging scalable, high-performance infrastructure to drive AI forward. This eliminates the hassles of data silos and makes data accessible for model training, analytics, and real-time inferencing.
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CIO
JANUARY 8, 2024
Like many enterprises, Cathay Pacific relied heavily on a lift-and-shift approach in its initial phase to benefit from the immediate efficiencies and scalability of the cloud. The cloud has helped us to be more scalable and agile.” Cathay is also an early innovator in making use of blockchain’s digital ledger technology.
CIO
AUGUST 9, 2023
Digital transformation defined Digital transformation has become a catchall term for describing the implementation of digital technologies to re-engineer existing processes or develop new services that better engage customers, support employees, improve business operations, and drive business value to the organization’s bottom line.
Cloudera
OCTOBER 11, 2022
A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. Data science needs analytics. But when that AI system is depended upon to make business critical decisions, the data set must be complete, accurate, and updated on a real time (or near real time) basis.
Mobilunity
MARCH 29, 2024
SAP and AI has become an important force in the tech scene by providing AI features that improve business processes. These services include a group of AI tools, like machine learning, natural language processing, and predictive analytics. The study from Accenture shows that AI can make business workers 40% more productive.
OTS Solutions
AUGUST 16, 2023
AI and ML are transforming the way applications are developed and optimized. They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. It is a valuable tool that businesses use to understand how customers feel about their products or services.
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