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ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence

Info Source

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

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IBM teams up with organizations on AI incubator for social impact

IBM Big Data Hub

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

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AI Governance: Break open the black box

IBM Big Data Hub

With the growing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries such as financial services, healthcare and telecom.

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Reltio Named a Leader in the 2021 Forrester Wave™ Report for MDM

Reltio

Reltio is a good fit for companies looking for a comprehensive, cloud-based MDM solution across multiple domains.”. “[ Reltio] leverages modern capabilities such as AI/ML, knowledge graph, and embedded analytics to support large and complex MDM deployments.”. Multiple Use Cases and Data Domains.

MDM 98
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7 Reasons Why Businesses Should Adopt A Modern MDM Platform

Reltio

Reltio Cloud supported a Consumer 360 solution, managing the client’s multi-domain data (customers, vehicle stores, accessories) in a holistic manner while integrating real-time predictive analytics with full visibility into all customer interactions. Enabling Connected Experiences. Speed to Value.

MDM 60
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.