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It's true that organizations are getting more out of their data than ever before (as investing more into their data, too), empowering data science and business intelligence teams to explore, visualize, and gain insights into unprecedented amounts of data. Two other things are also true: More is being expected from such teams to differentiate themselves from their competition and that all too often these analytics teams end their projects too soon – failing to consider the decisions their analyses inform. That’s where Decision Analytics comes in, and particularly, Mathematical Optimization.
In this webinar, industry experts will come together to discuss how enterprises are able to execute a successful proof of concept in the quest to build a viable business case. Drawing on real life experiences and examples, the panel will discuss: Identifying the right challenge applicable to quantum computing technology; Building out the potential use case framework; Selecting the right partners; Developing appropriate success benchmarks.
During the course of the pandemic, the video broadcasting industry has been pushed towards digitalization and has gone through major transformations. In the race to quickly adapt rigid infrastructures that satisfy a growing and evolving demand, artificial intelligence has become a versatile and omnipresent asset waiting to be turned into a competitive advantage.
In this webinar, several panelists including Appu Shaji, CEO and Chief Scientist of Mobius Labs and Eden Zoller, Omdia Chief Analyst, break down the way to adapt to a rapidly changing industry in the new year. In addition, there will be a discussion panel where we will include specific uses-cases and examples that are relevant to the video broadcasting industry. Finally, you will be invited to participate in an open Q&A session.
Automation has arrived. 2021 saw a huge increase in its adoption. But it hasn't been plain sailing for everyone. Robotic Process Automation (RPA) and Intelligent Automation (IA) are hot topics, but some organisations have had their fingers burned with attempts to introduce bots and the expected improvements.
Join HPE and NVIDIA experts as we discuss the ways Financial Services organizations are leveraging Artificial Intelligence to save money, improve operations, and better engage with customers. AI Deep Learning methods are enabling new and improved uses around fraud identification, predicting payment default, streamlining document and loan processing, and providing "best in class" customer experiences.
In this webinar, we will be joined by senior executives from Blue Yonder and Microsoft who will showcase the role of technology in combating and solving global supply chain shortages from Christmas toy shortages for your kids to chip shortages in the high tech and automotive industries.
The recent wave of sophisticated cyberattacks targeting both public and private sectors has led to nationwide efforts to address the gaps. Aggravating this challenge is the acute shortage of skilled cybersecurity professionals in the industry. While AI is great at automating simple repetitive tasks, much of cybersecurity is dynamic and prone to adversarial attacks, which are slipping through the cracks. This talk addresses how Human-Machine Intelligence will redefine the way we defend against cybersecurity attacks. This new field in cybersecurity can tip the odds that are stacked against organizations, while simultaneously elevating human potential to address these attacks.
At DataRobot, we perform regular research to understand the state of enterprise machine learning and help organizations maximize the business impact of ML. Businesses across virtually every industry made their ML initiatives a top strategic priority in 2020, as they looked to create both short-term costs savings and long-term competitive advantages. As the enterprise ML market continues to mature in 2021, many organizations are managing increasingly complex post-deployment operational issues. Set yourself up for ML success in the second half of 2021—and beyond.
Join us as we reveal trends in enterprise machine learning that have evolved in 2021.
Artificial intelligence is transforming retail to create the intelligent store of the future both in store and online while creating a better customer experience. Join our panel with our Omdia analyst, HPE and NVIDIA experts as we discuss some key trends of the hybrid AI enabled intelligent store and how to leverage AI to reduce shrinkage, use analytics to gain more visibility into store and customer behavior and ensure your infrastructure is production ready from the edge to the cloud to drive growth and maximize profitability.
In this Webinar, we will explore how enterprise data practitioners working in key industries such as banking, finance and retail can take back control of their data by creating a single, logical data layer using data virtualization. Attendees will learn how this important technology can not only address challenges such as data silos but also open up new ways to pursue opportunities such as building a customer 360 view, adopting real-time, continuous analytics, enabling IoT analytics, and delivering truly self-service business insights.
Key topics include: IBM Cloud Pak for Watson AIOps and Instana’s inclusion in the Omdia Universe’s AIOps report; Omdia’s evaluation of IBM Cloud Pak for Watson AIOps & Instana’s performance against their key product characteristics; The evolution of AIOps in the market; The significance of IBM’s acquisitions of Instana and Turbonomic.
Key topics: Everyday compliance use cases in the areas of capital and contracts; Complexities driven by processing massive volumes of unstructured data; and Leveraging Deep learning techniques on a next-generation AI platform.
In this webinar, we focus on how artificial intelligence (AI) – thanks to its language processing and analysis capabilities – enables the identification and anonymization of sensitive information. This includes the protection of PII data such as: proper names, addresses, phone numbers, emails, bank account numbers etc., in compliance with GDPR and similar regulations.
In this digital symposium, senior executives from Blue Yonder and Microsoft will review new technologies and case studies that demonstrate how machine learning is making supply chains more intelligent, more intuitive, more predictive and more capable of delivering to customers when, how and where they want.
Join us for this virtual session as we look at the pandemic as a catalyst for change and discuss the role of AI and other key technologies in shaping the landscape in telecommunications and digital transformation—and how to use these trends to stay competitive.
More importantly, companies of the Healthcare and Life Sciences (HCLS) ecosystem must come together to support this robust platform that enables digital transformation to achieve these goals via digital core, digital edge, and digital exchange – the three main tenets of digital transformation.