IT Toolbox
NOVEMBER 30, 2023
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.
Information Week
APRIL 5, 2023
How can enterprises prepare for the next round of data privacy activity? This curated guide offers information and articles that will help IT leaders stay up to date.
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CTOvision
JULY 14, 2021
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.
Forrester IT
FEBRUARY 23, 2024
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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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
Forrester IT
DECEMBER 8, 2022
For years clients have been reaching out with the following question: If a significant portion of all my enterprise data comes from SAP or Oracle business applications (ERP, CRM, etc.), Dear Salesforce, haven’t I been a good, objective, reasonable, helpful industry analyst? Why would you make my life more difficult?
Information Week
MARCH 1, 2024
Data integration stands as the ultimate business ally for modern-day business. Organizations boosting productivity and making better decisions make great use of data integration to optimally place the key asset of data.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Advertiser: GEP
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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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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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.
Advertiser: Data Robot
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.
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.
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.
Advertiser: Data Robot
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.
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