Businesses tend to generate mammoth amounts of data that come from diverse sources. This information needs to be transformed into insights that drive a better understanding of core business, customer, and market dynamics.
Unfortunately, most enterprises face a severe problem of data that is kept in silos, which in turn cannot be integrated due to a lack of definition and governance. Siloed data create barriers to information sharing and collaboration.
This IDC white paper explores the challenges that come with managing growing amounts of data and recommends how enterprises can build a data lakehouse. All data is kept within its lake format when you implement a lakehouse approach.
Download now to learn more about a scalable resource that can manage all of your organization’s data.
Provided by IBM
-
Microsoft says workers should believe the hype with AI tools: Researchers found Copilot users saved three hours per week sifting through emails, gained more focus time, and completed collaborative tasks 20% fasterNews Using AI tools paid dividends for some workers, but alternative research shows it could create problems for others down the line.
-
AI-first partnerships: Unlocking scalable growth for businessIndustry Insights Channel partners play a vital role in facilitating AI adoption, but there's more to offering support than simple integration
-
Reinventing Procurement: From Cost Center to Innovation Driverwhitepaper
-
Digital Optimisation Paves the Way to Strategic Supplier Managementwhitepaper
-
Google Cloud is leaning on all its strengths to support enterprise AIAnalysis Google Cloud made a big statement at its annual conference last week, staking its claim as the go-to provider for enterprise AI adoption.
-
Meta executive denies hyping up Llama 4 benchmark scores – but what can users expect from the new models?News A senior figure at Meta has denied claims that the tech giant boosted performance metrics for its new Llama 4 AI model range following rumors online.
-
Fake it till you make it: 79% of tech workers pretend to know more about AI than they do – and executives are the worst offendersNews Tech industry workers are exaggerating their AI knowledge and skills capabilities, and executives are among the worst offenders, new research shows.
-
Sourcetable, a startup behind a ‘self-driving spreadsheet’ tool, wants to replicate the vibe coding trend for data analystsNews Sourcetable, a startup developing what it’s dubbed the world’s first ‘self-driving spreadsheet’, has raised $4.3 million in funding to transform data analysis.
