Getting to Caprica - Making VR Really Usable

Take a deep-dive into data governance best practices for analytics and the challenges businesses are facing when it comes to ensuring their data meets compliance standards.

This panel of experts will discuss:
- How to best govern your data to ensure quality and reliability for analytics insights
- How to navigate common compliance hurdles to ensure your data meets regulatory requirements
- Emerging trends in the data governance space

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

Speakers
Arun Trivedi, Partner, Wipro Technologies (Moderator)
Rachael Fay, Data Governance Specialist, Australian Trade and Investment Commission (Austrade)
Janine Darling, Founder & CEO, Stash Secure Data
Ramesh Dontha, Managing Partner, Digital Transformation

New forms of ransomware attacks such as Ryuk, Bitpaymer and DoppelPaymer are asking for seven figures payments, for example a medical practice was asked for a 3.5 million ransom payment.

Ransomware malware variants have become more sophisticated, and this presentation will walk through case studies about techniques, tactics and procedures observed by real threat actors. Cyber Vaccines, such as the Dridex Cyber Vaccine, will be introduced as a method of removal and enterprise resilience measures like system hardening to prevent lateral movements will be discussed.

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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.

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- http://bit.ly/2PJlPHm

Join this 1:1 interview with Tim Gasper of data.world to discover how your business can become more data-driven by fostering an open and inclusive data culture. Ask Tim your own questions about how to encourage data teamwork while learning about topics such as:
- How to promote access to data for data discovery without compromising governance and security
- How to ensure data quality for reliable analytics insights
- Data literacy and collaboration: How to create an environment that nurtures the ability of people across a variety of roles to have access to data
- and more!

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

Join this webinar as we discuss:
-Data provenance and lineage means there is no escape
-What will be the impact on board meetings and complex judgment
-How will a board make a decision in 2025?

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The increased use of Artificial Intelligence (AI) and Machine Learning (ML) in business analytics has been seen as both a source of new discoveries and a concern of “AI run amok.” Which is it, and what is AI in the first place? In this webinar, we will go past the hype to discuss exactly what AI and machine learning are, how they relate to one another and other traditional BI methods, what they can do (and cannot do), along with providing examples of AI and ML in action to demonstrate what is really going on behind the scenes (in an easy to understand format).

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- http://bit.ly/2PJlPHm

When people talk about skills that are important for data science, they tend to focus only on the technical skills, like statistics and computer programming. Often overlooked is the scientific mindset.

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Artificial Intelligence is empowering countless applications today by consuming data and spotting patterns. However, this paradigm is being flipped. AI is now being used to produce data from patterns and the resulting ‘synthetic data’ is rapidly enabling a vast range of groundbreaking solutions.

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- http://bit.ly/2PJlPHm

Discover how developments in AI technology and data science strategy are transforming the way enterprises approach analytics.

This panel of industry experts will discuss:
- How AI is being operationalized for analytics use cases
- How predictive and prescriptive analytics are changing the way organizations approach their data.
- How enterprises can successfully conduct data science projects that lead to actionable business insights.
- And more!

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

Speakers:
Conor Jensen, Customer Success Team Lead, Dataiku (Moderator)
Parul Oberoi, Associate Director- Advanced Analytics and AI, Fractal Analytics
Ramesh Dontha, Managing Partner, Digital Transformation
Shikha Garg, Analytics Product Manager, IBM

Time spent researching, implementing, and maintaining your business intelligence (BI) investment can snowball quickly, and mistakes are often expensive. In this webinar, Prash Chandramohan, Director, Product Marketing at Informatica will discuss ten steps that help you ensure your BI initiative delivers successful results on an ongoing basis

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A demonstration using Vertica and Tableau to assist in determining the effectiveness of Chromebook usage in a K-12 public school district. Purpose to demonstrate the value and best use of machines to benefit students based on amount of usage and click data.

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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.

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Applying AI in business has limitless potential. More and more organizations are implementing AI solutions to improve their core business functions. AI is not only revolutionary for end-user experience but also drives productivity and efficiency through automation and cost-savings.

How do you leverage AI to streamline your core Enterprise IT organization?

In this webinar, AI experts Muckai and Sudhakar break down the need for curated historical data, the pros and cons of specific Enterprise IT/Cloud Challenges, and the necessary AI-native solutions. The webinar will provide examples powerful enough to attain the ultimate goal for personalization, automation, prediction, cost savings and improve experience.

Three takeaways planned for the session are:

•Discover how AI will make up 80% of user daily interactions
•Learn how AI delivers automated, human-like service experiences that empower users to self-solve problems
•How AI can be leveraged for your enterprise organization

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In this session we will cover key take away and lessons learnt from practical deployment of Ai and ML solutions in actual enterprise settings. Participants can use these learning to incorporate in their own organizations to ensure success of Ai and ML initiatives.

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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

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

AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it’s already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on and address:

• How do we ensure that AI is designed and used responsibly?
• How do we establish ethical principles to protect people?
• How should we govern its use?
• And how will AI impact employment and jobs?

To answer these questions, technologists will need to work closely with government, academia, business, civil society and other stakeholders. And focus on ethical principles – fairness, reliability and safety, privacy and security, inclusivity, transparency, and accountability – to guide the cross-disciplinary development and use of artificial intelligence for business and cyber. In this talk we’ll share the principle ethics of AI & ML and have a discussion about how we can all work together to forward AI and ML use responsibly.

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Frost & Sullivan research shows that Artificial Intelligence and Machine Learning has been adopted by 62.7% of companies across the globe. Primary drivers include improving the quality of products/services, the speed of decision making and operating efficiencies. Over a third of the respondents are concerned about security, the cost of integration and privacy.

Companies in IT & Communications and Finance, Banking & Insurance are the top industries implementing AI, initially to facilitate innovation for competitive advantage of AI. Businesses are also using it to create cost efficiencies, retain employees and improve the customer experience.

This webinar will look at some of the ways in which organizations are using ML and AI to improve their overall performance, drilling down into specific lines of business and use cases to deliver clear examples. We’ll answer your questions, as well as address key issues, including:
- Where is the market when it comes to advanced analytics?
- What are the “low hanging fruit” of use cases? Where should I start?
- What are the risks/challenges I will face?
- Who should be involved in developing strategy?

As a Fellow and VP of Research for Connected Work at Frost & Sullivan, Melanie covers a broad range of markets, leveraging long-standing relationships with leading industry participants’ senior executives and customer organizations.
Melanie has more than 25 years' experience covering video and web conferencing, social networking, unified communications, voice, IP communications, instant messaging and presence, and the end-to-end customer experience, as well as a wide range of business software and services.
Melanie brings deep technical expertise and in-depth understanding of the ways in which technology can positively impact business processes and performance. She studied social anthropology at Harvard, and she views technology transformation through that lens.