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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Managing data science in the enterprise.

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Achieving Business Analytics Success

Datavail

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. As a system architect, how would you design a storage infrastructure to meet these requirements in a single storage platform? Adriana Andronescu.

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Rebalancing through Recalibration: CIOs Operationalizing Pandemic-era Innovation

CIO

He focuses on the strategic insights into how businesses would operate in the future. The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

Can AI automate enterprise decision-making? “Each of these approaches has merit, but they are a far cry from the full promise of AI: truly intelligent machines that operate autonomously, on our behalf, to elevate human potential.” Image Credits: Arena. “The pandemic was actually a reaffirming moment for us.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. The vehicle-to-cloud solution driving advanced use cases.

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Making the Best of a New Winning Relationship – Robotic Process Automation & Business Process Management

Newgen Software

RPA system simplifies business processes by replicating human actions and automating repetitive tasks through the deployment of software robots, without modifying existing infrastructure and systems. RPA system manages tasks with virtually zero errors, very fast and thus yields financial benefits to the enterprise.