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The ‘Great Retraining’: IT upskills for the future

CIO

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). From an individual’s perspective, it keeps careers interesting and helps people grow with the organization.

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Komprise raises $37M to help companies index, manage and transform data

TechCrunch

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” More than a few organizations seem to be persuaded.

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Data Lake vs Data Warehouse

The Crazy Programmer

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. Pharmaceuticals: These organizations collect raw data when they conduct drug trials. That’s why data warehouses are specifically designed for interactive data analytics.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Currently, gen AI helps with new pharmaceutical development by creating never-before-seen molecules and analyzing their potential in the development of new medicines. Data prep matters, except… In areas such as supply chain and analytics, having all of your data in a form readily available to an AI model is essential.

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Perficient Healthy Lakehouse Accelerates Time and Cost to Value

Perficient

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. Through past implementations, Perficient has learned a lot about what adds time, effort, and cost to healthcare data & analytics projects. We’ve also learned a bit about what can be done to reduce the lift involved.

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AI Can Help Retailers and Manufacturers Navigate Supply Chain Challenges

DataRobot

Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Top 10 global pharmaceutical company (nominated by Tata Consultancy Services ).

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