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Leveraging Content Management Software to Facilitate a Cloud-First Approach

CIO Business Intelligence

Statista estimates that global investment in digital transformation is expected to increase significantly between 2022 and 2025, from $1.8 quintillion bytes of data (that’s 2.5 IT professionals tasked with managing, storing, and governing the vast amount of incoming information need help. trillion to $2.8 followed by 18 zeros!).

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

billion by 2025. Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. QlickSense.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, data governance strategies that are leveraging knowledge graph solutions have increased data accessibility and improved data quality and observability at scale.

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The Benefits of Data Management Automation: 8 Tips to Automate Data Management

erwin

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. Set up unified data governance rules and processes.

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