Remove Business Analytics Remove Data Engineering Remove Weak Development Team
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The future of data: A 5-pillar approach to modern data management

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167
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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90
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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Analytics in logistics and transportation.

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Technology Trends for 2025

O'Reilly Media - Ideas

Now the ball is in the application developers court: Where, when, and how will AI be integrated into the applications we build and use every day? And if AI replaces the developers, who will be left to do the integration? Our data shows how our users are reacting to changes in the industry: Which skills do they need to brush up on?

Trends 131
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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. There’s no denying that the pandemic bolstered the adoption of AI and analytics technologies.

Data 230
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Technology Trends for 2023

O'Reilly Media - Ideas

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 144
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Data’s dark secret: Why poor quality cripples AI and growth

CIO

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Why data quality matters and its impact on business AI and analytics are transforming how businesses operate, compete and grow.