DRIVING IMPACT WITH BIG DATA
Big data is everywhere. You can’t avoid being exposed to discussions around big data, and the analysis of it, on a regular basis. The downside of this attention is that there is a lot of hype and misinformation in the marketplace. Many companies are confused about how to get started, what actions to take, and what pitfalls to avoid.
Based on content from the popular books Taming The Big Data Tidal Wave and The Analytics Revolution, this training will provide an overview of important themes to understand regarding big data. The talk will address technological, organizational, and cultural points that must be considered. Most importantly, the talk will aim to provide attendees a solid direction to take their big data initiatives.
THE ANALYTICS OF THINGS
The Internet of Things (IOT) has arrived and is growing rapidly in scope and influence. From industrial equipment, to personal tracking devices, to smart grid infrastructure, the number of connected devices is increasing exponentially. This means that the data generated by the IOT is growing exponentially as well.
While there is a lot of value hidden in IOT data, there are many challenges in extracting that value through analytics. This training will walk through some of the key issues that organizations will face as they attempt to analyze IOT data as well as some examples of IOT analytics today and those coming tomorrow. By the end of the talk, attendees will see why many are calling it The Analytics of Things (AOT) rather than the Internet of Things (IOT).
BUILDING A HIGH-PERFORMANCE ANALYTICS & DATA SCIENCE TEAM
As analytics and data science continue to grow in importance, the size and scope of the organizations that support these activities are also growing.
With larger teams, an ever more complex analytics tool and technology landscape, and an increasing breadth of analytics requirements, it is critical to maintain focus on building a team that can succeed.
This training will discuss a variety of topics related to how a successful modern-day analytics and data science organization can grow, mature, and succeed. Topics will include guidance on organizing, recruiting, retaining, and instilling a winning culture within an analytics and data science organization.
CUTTING THROUGH THE HYPE: WHAT YOU NEED TO KNOW ABOUT AI
This training will cut through the hype around artificial intelligence (AI) and help the audience better understand what they need to know about the state of AI today.
Included in the discussion will be examples of AI in action and the value it can drive, what AI can and can’t do today, how AI differs from (and is similar to) other analytics approaches, tips on getting started, and perspectives on the future of AI. The aim of the presentation is to be both educational and thought provoking.
THE INDUSTRIAL REVOLUTION OF ANALYTICS IS HERE
Focus today is shifting from simply capturing big data and discovering new insights with it to operationalizing those insights. The industrial revolution took manufacturing processes from an artisanal practice to a modern technological marvel that is able to manufacture quality items at massive scale.
The same type of revolution must happen with analytics and big data. Based on the popular book The Analytics Revolution, this talk will address technological, organizational, and cultural points that must be considered to succeed in making big data actionable and operational.
INGREDIENTS OF AN ANALYTICS CULTURE
With today’s tools and technologies, analytics that could only be dreamed of just a few years ago are now both possible and affordable. As a result, the primary limiting factor in organizations’ analytics success today is often corporate culture, politics, and legacy protocols as opposed to technological or cost barriers.
This training will discuss a range of themes related to successfully embracing analytics as part of a corporate culture. The talk will discuss points related to culture impacting areas such as analytics creation, business usage of the analytics, organizational models, funding methods, and corporate policies. Drawn from observation of many large organizations, the talk will provide some food for thought to attendees to reconsider how their organization is approaching analytics.
THE ETHICS OF ANALYTICS
As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider and no clear standards exist in many cases as to is fair and what is foul.
This means that organizations must consider their own principles and risk tolerance in order to implement the right policies. This training will cover a range of ethical, privacy, and legal issues that surround analytics today. It will frame the big questions to consider while providing some of the tradeoffs and ambiguities that must be addressed to answer those questions.