This event is sponsored by O'Reilly Media, Inc. Several books on Mahout, Machine Learning, General Map Reduce and Data Sciences from O'Reilly Media Inc. will be distributed at the event.
1:30pm-2:00pm - Networking
2:00pm-2:45pm - Session 1
Title : Missing Perspectives in Big Data Industry
Speaker: KRS Murthy, CEO, I Cubed
Abstract: The speaker has been personally talking to a lot of people in the big data industry in many events and privately. He has also interacted with big data industry leaders and professionals. He has talked to companies in this industry to include those who focus on different systems and solutions.
This is the problem he is seeing: People are either familiar with server design at hardware level, or those who do big data are mostly Hadoop software types or data scientists. In all his efforts, he has not found those who are knowledgeable in the intersection of how big data will create special supply chain demands and performance demands in not only servers, but also data centers and the components that go into them like processors, Solid State Memories (SSD) memories. Additionally, there will be similar demands in networking, latency, cost etc.
The speaker will present and discuss the gaps in the industry.
Speaker Bio: As a public speaker, delivered over 150 Key Notes in large international conferences and over 4000 lectures in USA and most of the countries and continents of the world.
Shared stage with few Nobel laureates, Fortune 50 corporate executives, governmental leaders from many countries, world famous musicians, award winning actors, international award winning authors and literary scholars, world’s leading religious leaders and motivational speakers.
News Papers, Radio and Television: Featured in many newspapers, radio and television in many parts of the world. Listed in Who's Who in the World and Who's Who in America A child prodigy polymath, with numerous life time accomplishments encompassing technology, entertainment, business, entrepreneurship, public speaker and visionary leadership. An internationally reputed Serial Entrepreneur and Serial C-Level Executive, his achievements include aiding the growth of a few American Companies to record revenues and corporate valuation. One of the companies he was President was listed as the Fastest Growing and 2nd Largest African American Company by Black Enterprise Magazine with $500M Revenue and over $3.5B Valuation.
His Entrepreneurial and executive track record encompasses in all aspects of BIG DATA, VIDEO GAMES, telecom, wireless, IT, software, computers, video / multimedia, Defense, aerospace, solar, biofuel, fuel cells, nano and micro technology, composites, electronics hardware and healthcare services. I have excelled in start up and early stage high technology companies.
He is an international experts on Corporate Governance and Mergers and Acquisitions in both sell and buy sides leading pre-diligence, corporate valuations, detailed diligence, preparation of M&A prospectus, deal sourcing, structuring, negotiation, transition and all logistics of M&A in telecom, wireless, web servers, electric car, biotech, healthcare and other high technology areas and project management background.
He is an adviser to chancellors, presidents and deans of some universities in USA.
2:45pm-3:00pm – Q&A
3:00pm-3:45pm – Session 2
Title : Data Zen: Delivering Data Science While Keeping Your Sanity
Speaker : Nick Kolegraff, Founder of Data Science linux project and Data Scientist at a large management consulting firm.
Abstract : Often organizations want to start doing data science but have a hard time knowing what is needed to execute a clean and concise project when trying to drive quick wins. Data Zen is a set of core principles to follow when executing a data science project that will keep you on task while preserving everyone's sanity. Data Zen gives you a few things to consider and a thought process to follow to avoid your worst enemy: Data Dementia.
Speaker Bio : Nick Kolegraff is lead data scientist for one of the worlds largest management consulting firms and founder of the data science linux project. Nick and his team are like seal team 6 of data science. They get inserted into Fortune 500 companies who think big data analytics might hold business promise. Nick and his team start with ugly data and little infrastructure. In a short span of time they work with executives to develop strategies around data science and analytics and then rapidly assemble and deploy the required solutions. Engagement with a wide variety of business problems and solutions has led Nick to hone his tool set for efficiency. He continues to post his open-source tool collection on Data Science Linux for the benefit of other data scientists. Nick holds a BS in statistics and a BA in computer science from University of Iowa.
3:45pm-4:00pm – Q&A
4:00pm-5:00pm - Networking
Coffee and Light Snacks will be available.