The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018

MLDCs (Machine Learning Data Catalogs) Are The Stepping Stone For The Intelligent Business

Data Pros Are Looking For Data Understanding That Everyone Can Access: The MLDC market is growing because firms want to scale data to the masses through selfservice. However, back-end data management technology can’t support tribal knowledge, provide a good user experience (UX) for data consumers, and scale across a highly federated data ecosystem. MLDCs solve this and scale elastically by leveraging their machine learning (ML) capabilities. Machine Learning, Collaboration, And Activation Are Key Differentiators

 

IBM, Reltio, Unifi Software, Alation, And Collibra Lead The Pack in "The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018". Check out Informatica, Waterline, Horton..etc

The Forrester Wave™: AI-Based Text Analytics Platforms Report Q2 2018

Complex Concept Extraction Is A Key Differentiator
As basic, mostly keyword-extraction-based technology becomes outdated and less effective, improved complex concept extractions (emotion, effort, intention, risk, and fraud-level tagging) will dictate which providers lead the pack. Vendors that can provide these advanced features position themselves to successfully deliver enterprisegrade text analytics solutions to their customers.


The AI-based text analytics platforms market is growing because more companies see turnkey solutions as a way to address their top text analytics challenges. This market growth is in large part due to AD&D pros increasingly preferring to buy rather than build text analytics solutions.


Forrester’s research uncovered a market in which Clarabridge, IBM, SAS, and Micro Focus lead the pack. OpenText, Attivio, Expert System, and EPAM Systems offer competitive options.

The Forrester Wave™: Big Data Fabric, Q2 2018

Big data platform components like data lakes, Hadoop, and NoSQL have made big data architectures more affordable, allowing companies to pursue insights-driven competitive advantage. But security concerns, complex data structures, problems involved in moving legacy data, large volumes, latency challenges, and variable speed of ingestion are significant obstacles to moving business data to these platforms, especially when dealing with data distributed across data centers. We find that most organizations are creating multiple repositories and platforms, creating more data silos rather than a unified platform for insights. But disparate technology stacks compromise timely, integrated data delivery to business users, customers, and partners.

 

Big data fabric, an emerging platform, accelerates insights by automating ingestion, curation, discovery, preparation, and integration from data silos.

 

Talend, Denodo Technologies, Oracle, IBM, And Paxata Lead The Pack in "The Forrester Wave™: Big Data Fabric, Q2 2018"