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Apiumhub as Partner of the Data Innovation Summit 2023 

Apiumhub

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

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5 reasons to move to a network platform

CIO

AI and machine learning (ML) also have a crucial role to play in the evolution toward greater operational simplicity. Open APIs and ecosystems Another major benefit of a platform approach is the exposure to APIs for accelerating both IT and business innovation. Networking

Network 245
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Fearing disruption? A skills-based talent strategy builds business resiliency

CIO

Additionally, 46% said they are “not fully equipped to face disruption” especially when it comes to data security and technology innovation. Some of this can be attributed to a growing skills shortage, especially in emerging technologies such as AI, generative AI, NLP, and machine learning.

Strategy 287
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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

The following diagram illustrates the solution architecture and workflow. If you’re seeking assistance on how to begin, check out the Generative AI Innovation Center. She has over 15 years of IT experience in software development, design and architecture. In her free time, she likes to go for long runs along the beach.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). The following diagram illustrates the solution architecture. About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI.

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The Future of the Data Lakehouse – Open

Cloudera

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 97
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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.