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IBM and Palantir join forces on ‘low-code’ AI data processing for enterprises

CTOvision

Read Mike Robuck explain how IBM and Palantir Technolgies, Inc’s low code AI data processing will help small and medium businesses on Fierce Telecom : IBM and Palantir have teamed up on a new enterprise offering designed to simplify how businesses build and deploy AI-based applications.

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Bring Data To The Other 80% Of Business Intelligence Users

Forrester IT

Many of us remember the old days of enterprise business intelligence (BI) delivery where all requests for new or changed queries, reports, and dashboards had to go through a centralized IT team of BI and data professionals.

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Palantir: The Next Big Player In Enterprise Data

CTOvision

’s future is bright as more and more businesses transition to artificial intelligence backed big data working environments on Seeking Alpha : In a world where technology is advancing faster than ever, it is not outlandish to see life imitate […].

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Supercharging Data Fabrics With Generative AI

Forrester IT

Data fabric has been gaining traction in the enterprise.

Data 440
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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Unlock the power of open-source data management for long-term success

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Leveraging Gen AI on Structured Enterprise Data

IT Toolbox

Discover the future of business intelligence and the transformative power of generative AI in data analysis. The post Leveraging Gen AI on Structured Enterprise Data appeared first on Spiceworks.

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Your New Data Center Services, Infrastructure Outsourcing, And Semiconductor Analyst

Forrester IT

I am happy to announce that my coverage area now includes Data Center Services, Infrastructure Outsourcing, and Semiconductors. This is in addition to my existing coverage of Technical Debt and Enterprise Architecture.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results.

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The Cost-Plus World of Supply Chains: The Macroeconomic and Geopolitical Environment

From new pricing strategies and material substitutability to alternative suppliers and stockpiling, a new GEP-commissioned Economist Impact report reveals that enterprises are adopting a variety of approaches underpinned by data and technology.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

Tableau works with Strategic Partners like Dremio to build data integrations that bring the two technologies together, creating a seamless and efficient customer experience. As a result, these two solutions come together to deliver: Lightning-fast BI and interactive analytics directly on data wherever it is stored.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.