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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning. Seamless data integration.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.

Agile 363
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12 ways to accelerate digital transformation

CIO Business Intelligence

Speed and agility bring in the top transformation prize. Go all-in with agile Another way to ensure IT can quickly deliver transformative results is to go all-in with modern approaches, starting with a full embrace of agile development. The 2024 State of Agile report from Digital.ai

Agile 319
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Cisco CIO Fletcher Previn talks culture: ‘They can steal your technology, but not your philosophy’

Network World

The roadmap is based on three fundamental pillars, with a goal of achieving an agile organization with a capacity for innovation and operational resilience to face the uncertain future that is looming on the horizon. Engineers and technologists are really going to be essential in building the infrastructure of tomorrow.

Agile 458
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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility.

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Streamlining IT for agility

CIO Business Intelligence

Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.

Agile 344
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10 ways to kill your IT culture

CIO Business Intelligence

Instead of succumbing to the pressure, CIOs should consider collaborative approaches: Empower and inspire agile teams by avoiding rigid delivery roadmaps, highlighting what performance improvement areas are worth focusing on, and giving teams time to reset after major releases.

Agile 352
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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.