Getting to Caprica - Making VR Really Usable

In this session we cover: Why Best Practices For Cloud Analytics Are Boosted With AI That Is Easy To Use For Anyone!

Including;

What's The Situation Today?
What's Changing?
How Does It All Work?
What About Ethics?
Do I Need It?
Today’s Challenges?
Top Case Studies?
How To Ensure Success?

We are creating and storing data like never before and businesses cannot survive unless they find innovative ways of using analytics to pore over this ever increasing and complex dataset that comes in so many flavors. By using machine learning and artificial intelligence in this endeavour effectively, companies can achieve a sustained competitive advantage. In this webinar, we will explore and discuss various ways in which enterprises are leveraging and using ML & AI for big data analytics.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

In this webinar, we will give an overview of advanced capabilities for addressing the operational challenges faced by engineers, scientists, and researchers with the increased use of machine learning and artificial intelligence.

We will highlight some of the activities involved in leveraging machine learning and artificial intelligence in a developing a comprehensive solution:

- Data ingestion process for collecting and identifying relevant data to fuel machine learning algorithms
- Using semi-automated features to speed up the model construction process
- How the resulting robust models can be optionally integrated with a virtual laboratory system

Using a virtual laboratory system as part of an integrated solution powered by machine learning increases R&D productivity, ensures maximum benefit from lab resources, and helps to manage common business problems, such as mitigating risk associated with the cost and availability of raw materials.

Who should attend:
- Engineers, scientists and other analysts who are interested in extending their use of machine learning and artificial intelligence
- Managers who are looking to accelerate productivity and innovation of scientists and engineers in their teams

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

Tune in to this live panel and hear directly from industry experts in the field of Business Intelligence about the many use cases for AI and machine learning in the enterprise.

You'll discover:

- How industry professionals are applying AI and machine learning technology to a variety of analytics use cases
- Which verticals are benefiting from machine learning and AI-enhanced analytics techniques
- How to optimize your approach to enterprise AI to get the most benefit for your business.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

Artificial Intelligence (AI) is becoming widespread and will reach the mainstream soon. With its increasing capabilities, however, how do we ensure that AI keeps doing what we want it to do? What governance frameworks, standards and methods do we have to control AI such that it stays within the bounds of what it was designed for?

This presentation looks at Governance and Management of AI, including applicable ISO standards, Ethics and Risks.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

Tune in to this live panel to discover how industry experts are utilizing machine learning and AI technology to enhance their analytics strategy.

You'll learn about:

- The tools AI and machine learning experts are using to deepen their analytics insights
- Strategies to streamline adoption of AI and machine learning technology in the enterprise
- Best practices for optimizing your approach to advanced analytics for big data.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

This session will cover: How AI Today Can Be Used By Almost Anyone For More Powerful Analytics. Including: What's The Situation Today? What's Changing? How Does It All Work? What About Ethics? Do I Need It? Today’s Challenges? Top Case Studies? How To Ensure Success?

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/BrightTALKBI

Whether you're just starting your cloud analytics journey, or you're a seasoned veteran, the question remains: Is your cloud analytics strategy delivering the insights you need? This panel of experts will help you discover the right way to harness your cloud data to give your big data team the resources they need to make informed business decisions. From preventing your cloud data lakes from becoming data swamps, to scaling your cloud environment to accommodate all your data sources, learn how to activate your cloud BI strategy & achieve powerful analytics results

About the Presenters

Brajesh Goyal is an industry veteran in the hybrid cloud space, bringing to Cavirin more than 20 years of high tech engineering experience. He was the founder & CEO for ITAPP, a disruptive cloud management company that was purchased by ServiceNow in 2016. At Oracle, he defined the term “enterprise grid computing” (former name for cloud) and wrote books on the topic. He continued to lead initiatives for enterprise grid computing, virtualization, and cloud at NetApp. BG holds a Master's degree, in Computer Science and Engineering from University of Minnesota, and a Bachelor of Technology Degree in CS from the Indian Institute of Technology

Isabelle Nuage is Director of Product Marketing at Talend. Her field of expertise include Data Integration, Big Data and Analytics. Isabelle brings 20+ years of experience in the software industry holding various leadership positions in product marketing at SAP & Business Objects. She holds a post graduate degree in computer science applied to GIS from the Pierre & Marie University in Paris, France

Vincent Lam is Head of Cloud Product Marketing at Talend. Throughout his career he has held leadership roles in marketing, product management & product development involving innovative technology solutions to complex problems. Mr. Lam is author of several patents and his background includes innovation across technology firms, Wall St, & entrepreneurship

New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past six years. David also highlights some of the differences between language understanding and other machine learning and deep learning applications.

Topics include:

- What gave natural language understanding its reputation as an “AI complete” problem
- The many languages we speak every day and the resulting need to train domain-specific NLP models for most systems
- The evolution from “traditional” machine learning and information retrieval techniques to current state-of-the-art systems, covering both the “simple” parts of common NLP Q&A or bot solutions and where “advanced” AI fits in
- Guidelines to architecting a system that trains and serves large, current, accurate domain-specific NLP models using open source software

David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.

Ai is expected to be a revolution bigger than the internet, but this revolution starts with practical applications of Ai and ML to solve business problems that produce meaningful ROI. In this session, you will learn about how Pluto7 and Google Cloud are partnering in solving real-world business problems for large enterprises across the US and Globally showcasing innovation as well as pragmatically embedding Ai/ML into the business processes aligning with people driving change management. Ai when combined with Big Data and IoT now forms a recipe for further automation with deeper data insights into your business. Ai is a journey for most of our customers and not a point in time project which in this session you will learn why.

Join this live panel of industry experts and learn what steps businesses are taking to streamline their adoption of self service analytics tools and techniques.

You'll discover:

- How companies are approaching their in-house analytics strategy to ensure their analytics tools are meeting their needs.
- Best practices for managing your data to optimize analytics insights.
- How data visualization and data storytelling can enrich your self service analytics journey.

As data visualization technology continues to evolve, it gives businesses the edge they need to dive deeper into their data with analytics, enriching the data discovery process and revealing answers to questions that analysts might not have even known they had. Properly executed visual analytics can help organizations discover patterns and insights that lead to tangible results in today's competitive marketplace.

Join this live panel and discover the latest tools, techniques and strategies industry experts are using to visually transform their data for compelling business intelligence and analytics use cases.