Top 3 2019 Predictions for AI in Healthcare

The next five years in healthcare will continue to focus on the adoption of disruptive and innovative technologies such as artificial intelligence and machine learning, which will drive digital transformation forward at a rapid pace. While AI has experienced over-hyped promised and the health industry has taken a cautious approach to the use of AI technologies, progress is genuinely being made today. This webinar will highlight 3 AI predictions from IDC Health Insights’ Top 10 predictions for 2019 and identify relevant AI use cases for digital transformation..
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ForgeRock and Accenture Share How To Enhance Existing Governance Investments with Artificial Intelligence

Global organizations have long used identity governance solutions to address user access and regulatory compliance requirements. Each technology requires a clear identification of which users need access, what resources they need, and how access can be controlled to prevent unauthorized usage. As the size and scope of these challenges has increased, traditional approaches like RBAC have fallen short, for the simple reason that defining and maintaining roles is time consuming and difficult using legacy tooling or even the dreaded spreadsheets. Operational costs are exploding, users are suffering from identity fatigue, and auditors are calling out rubber stamping as a regulatory issue.
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Getting Real About AI, Data Science and Machine Learning: Gartner Talks

Gartner

So many questions still surround artificial intelligence (AI), data science and machine learning. Yet, the questions are getting far less theoretical as more organizations look to take advantage of these technologies now. Organizations are asking more about how they can apply these technologies, how long it will take to gain the benefits, and how to train staff -- or if they need to hire new staff.
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The New Wireless Network: Using AI to Make Wi-Fi Predictable, Reliable, and Measurable

ONUG

Wireless is more critical than ever. But, it is also harder than ever to manage. The amount of devices and applications are growing exponentially, as is the expectation for wireless networks that are predictable and reliable.AI is the answer. Through software automation and insight you can lower Wi-FI OPEX, maximize visibility into the user experience, and deliver amazing new location services that help drive business value.
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Take AI/ML models to production faster by bringing performance & productivity to your MLOps

According to industry analysts, more than 85% of artificial intelligence (AI) deployments never make it into production. Moving from research (using small data sets) to robust online production environments is far from trivial. Production environments need to process large amounts of real-world data and meet application performance and SLA goals. To bring AI projects from the lab to production, organizations need a production-first mindset. They also need underlying infrastructure built for scale and high performance.
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