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Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Astera

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

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5 Step Process For Insightful Data Driven Business Decision Making

Smart Data Collective

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

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Predictive Modeling Does Not Have to be Complicated!

ElegantJ BI

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists.

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Predictive Modeling Does Not Have to be Complicated!

ElegantJ BI

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists.

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Optimize your Go To Market with AI and ML-driven Analytics platforms

BizAcuity

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. Data Enrichment/Data Warehouse Layer. Data Analytics Layer. Data Visualization Layer.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

This helps all kinds of customers—from large retailers like Woolworths , to healthcare organizations like Health Data Compass —scale modern analytics with Tableau and Google Cloud. We keep innovating together to scale analytics to anyone across your organization. Your data in the cloud. And we're not stopping here.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.