Remove Analytics Remove Business Analytics Remove Compliance Remove IoT
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The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO

The Zscaler Zero Trust Exchange provides a holistic approach to securing users, workloads, IoT/OT devices, and B2B partners. Zscaler also discovers shadow IT and risky, unapproved third-party applications users have connected to, as well as any misconfigurations or compliance violations in sanctioned applications.

Security 357
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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

Oracle Analytics Cloud. PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle’s SaaS cloud offerings include: Oracle EPM Cloud. Oracle ERP—Financials Cloud. Oracle HCM Cloud.

Cloud 97
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

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Announcing the 2021 Data Impact Awards

Cloudera

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . Data Champions: OVO (PT Visionet Internasional) — Using advanced, intelligent data analytics and machine learning to increase customer conversion rates.

Data 65
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Brick and Mortar Stores are Now Built Brick by Brick with Digital Insights

Cloudera

For merchants, the ability to capture shelf, rack, table, and bin inventory levels allows them to prevent out-of-stocks (lost sales), monitor merchandising (display, pricing, promo, POG), meet compliance initiatives, and share these new insights with trading partners they may have.

Retail 68
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Redefining Manufacturing RPA: Navigate Challenges, Embrace Innovations, and Explore High-Impact Use Cases

Trigent

In the wake of hyper-digitization, manufacturers are leveraging advanced technologies like RPA, IoT, and AI to make their processes more efficient. The requirement of each manufacturing business is different based on industry & target customers, but many of their back-end processes are similar.