Find Events Event Views Navigation View As List Month Week Day Day Of Search Near Collapse Filters Show Filters Narrow Your Results Event Category Select Advanced Analytics Analytics Big Data Chief Data Scientist Churn Comprehensive Customer Journey Data Analyst Data Associate Data Management Data Scientist Executive Finance Forecasting Healthcare Insurance IOT Logistics Manufacturing Product Management Security Smart Cities Social Movement Sr. Data Scientist Cost ($) Tags Advanced analytics Analytics Big data Data management Venues Analytics Analytics Leadership Risk Technology Organizers Predictive World Day Monday Tuesday Wednesday Thursday Friday Saturday Sunday Time All Day Morning Afternoon Evening Night Country Select United States Featured Events Show featured events only Category Description Select Learn about Stream Processing and technologies such as Spark, Flink, and Beam. We then discuss the use new area of Fast Data in the AI space. We conclude with implementation guide and a summary of best practices for Fast Data. Primary Speaker First Name Select Michelle Vladimir Matthew Garrett Kate Anne Marie David Anahita Richard Charlotte Meina Dean Melanie Pramod Sriram Ted Todd Genetha Christine Danielle Stephen Alex Anatole Amb. Ehilegbu Geoff Dr. Jenifer Tim Semia Lee Tanya Diane Arpit Rakhee James Primary Speaker Last Name Select Bonat Bacvanski Mahowald Long Strachnyi Smith Marco Bhiwandiwalla Boire Whitmore Zhou Abbott Mecca Bohra Vishwanath Harrington Mostak Gray Eastham Preisach Stein Fairhurst Bordei Krattiger Wadström Melody Bolan White Kisuule Gharbi Feinberg Cashorali Chang Gupta Singhal Primary Speaker Bio Select Michelle Bonat is passionate about leveraging data and technology to drive business value. Michelle is currently the CEO and cofounder of Data Simply, a Silicon Valley-based software developer that is redefining the way financial professionals get insights from data. A software engineer, Michelle is a former executive at Oracle, where she ran financial web application development globally. She is also an ex-banker with an MBA from Kellogg. As a result, she deeply understands the challenges of financial professionals and knows how to solve them through technology. Dr. Vladimir Bacvanski has over two decades of engineering experience with mission critical and distributed enterprise systems and data technologies. Vladimir has helped a number of organizations including the US Treasury, the Federal Reserve Bank, UN, US Navy, IBM, Dell, Hewlett Packard, PayPal, JP Morgan Chase, General Electric, BAE Systems, AMD, and others to select, transition to, and apply new software and data technologies. Vladimir is published worldwide and is a keynote speaker, session chair, and workshop organizer at leading industry events. As a co-founder of SciSpike, Vladimir is focusing on Fast Data technologies and highly scalable reactive software architectures using Scala and node.js. Vladimir is the author of the O'Reilly course on Big Data and NoSQL. Matthew is a data scientist and software engineer at Open Data Group. He holds a PhD in Mathematics from Northwestern University, where he researched the geometry of string theory and topological field theory. At ODG, Matthew focuses on developing and deploying machine learning models with FastScore. Garrett is the VP of Marketing with Open Data Group. Garrett has worked with both fortune 100 and start-ups to create value added products and grow businesses for the past 20 years. At Open Data Group, Garrett is focused on helping enterprises efficiently deploy their predictive analytics models to ensure maximum value from data science investments. Prior to Open Data Group, Garrett was a Sr. Director of Marketing at Sandisk, Inc (now a Western Digital Company). At SanDisk, Garrett was responsible for starting two new lines of business focused on the enterprise storage and connected home markets. Garrett got his start in marketing at KLA-Tencor (KLAC), where he led a $100M business unit marketing team. Garrett has a BS in Electrical Engineering from Carnegie Mellon University, where he ran four years of track and field. Kate Strachnyi is currently working for Deloitte as an Insights & Visualization Lead in their CIO Program. Previous to that, Kate spent over five years in a client facing role working with large financial services institutions in the risk management and regulatory compliance space. Additionally, she worked as a risk analyst for the Chief Risk Officer of Bank Leumi. She obtained the Tableau Desktop 10 Qualified Associate certificate and is also a holder of the Project Management Professional (PMP) certificate. Anne Marie Smith, Ph.D., Vice President of Education and Chief Methodologist with EWSolutions (http://www.ewsolutions.com) is a leading consultant in Data and Information Management. Anne Marie is a frequent contributor to various information technology publications, and was a major contributing author to the DAMA-Data Management Body of Knowledge (DAMA-DMBoK ©). Anne Marie has over 20 years of experience in information management initiatives, and is considered an expert in enterprise data management assessment, enterprise data management program development, metadata management, with numerous successful consulting engagements to her credit. She is recognized as a leader in the field of data governance. Dr. Smith is an acclaimed speaker and has presented numerous keynote addresses, courses, and seminars at conferences and symposia on many topics in the data management discipline. She serves as the Executive Editor of the Enterprise Information Management Institute (http://www.EIMInstitute.org) and was Editor in Chief of the online journal Real World Decision Support. Anne Marie holds the degrees Bachelor of Arts and a Master's of Business Administration in Management Information Systems from La Salle University; she earned a PhD in MIS at Northcentral University. Anne Marie has earned the designations of Certified Data Management Professional (CDMP) and Certified Business Intelligence Professional (CBIP) and holds project management and facilitation certification. Additionally, Anne Marie received the DAMA International Professional Achievement award in 2015 for excellence in enterprise information management and data governance leadership and education. Anne Marie can be reached at amsmith@ewsolutions.com Best known as the world’s foremost authority on metadata management, he is an internationally recognized expert in the fields of data management, data governance, data warehouse, business intelligence and data stewardship. In 2004 David Marco was named the “Melvil Dewey of Metadata” by Crain’s Chicago Business as he was selected to their very prestigious “Top 40 Under 40” list. He followed up this honor in 2007 by being named one of DePaul University’s “Top 14 Alumni Under 40”. In 2008 David Marco was enshrined into the very select DAMA Data Management Hall of Fame (Professional Achievement Award) which is the highest honor a data management professional can attain. He is also has earned CDMP and CBIP certifications. David Marco is the author of the widely acclaimed, top-selling books “Universal Meta Data Models” and “Building and Managing the Meta Data Repository” which were translated into Mandarin (Chinese). In addition, he is a coauthor of “Impossible Data Warehouse Situations and Solutions From The Experts” and “Data Resource Management”. David Marco has published hundreds of articles some of which have been translated into Mandarin, Russian, Portuguese and others, was a regular columnist for several technology magazines, the chairman of the Enterprise Information Management Institute (EIMInstitute.ORG) and has served as a judge in dozens of industry awards. He is a highly sought after speaker and has presented hundreds of keynote addresses and courses at the major business, data warehousing, and meta data conferences throughout the world. David Marco has taught at the University of Chicago and DePaul University, and is on the Advisory Council for DePaul University’s College of Commerce. In addition, he is the founder and President of EWSolutions, a GSA schedule and Chicago-headquartered strategic partner and full life-cycle systems integrator dedicated to providing companies and large government agencies with best-in-class, award-winning solutions using enterprise information management, big data, data warehousing, data governance and managed meta data environment technologies visit www.EWSolutions.com. Mr. Marco may be reached via email at DMarco@EWSolutions.com Anahita Bhiwandiwalla is a Senior Software Engineer at Intel for their Analytics & Artificial Intelligence Solutions Group. She is currently working on creating analytics solutions for large-scale distributed data and solving challenges that arise as the data scales. She holds an M.S. in Computer Science from Columbia University with an emphasis on Machine Learning. Anahita’s main interests are in Machine Learning, Natural Language Processing, Speech Recognition and Data Mining. She has presented her work at various meet-ups, webinars and conferences. Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. His initial experience at organizations such as Reader’s Digest and American Express allowed him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models, which targeted the acquisition of new customers based on return on investment. With this experience, Richard formed his own consulting company back in 1994, which is now called the Boire Filler Group, a Canadian leader in offering analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges. Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM.) and Predictive Analytics World (PAW). His written articles have appeared in numerous Canadian publications such as Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada, which includes University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was Chair at the CMA’s Customer Insight and Analytics Committee and sat on the CMA’s Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the 2002 Database and Technology Seminar and the first-ever Customer Profitability Conference in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014, which were held in Toronto. He has co-authored white papers on the following topics: ‘Best Practices in Data Mining’ as well as ‘Customer Profitability: The State of Evolution among Canadian Companies’. In Oct. of 2014, his new book on “Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems” was published by Palgrave Macmillian. In March of 2016, Environics Analytics acquired Boire Filler Group where his current role is senior vice-president of customized analytics. Check out our blog on “How to Get More Value from your Data https://www.regonline.com/Register/Checkin.aspx?EventID=1698332 Whitmore, 31, co-founded Analytics Pros in February 2009. With approximately 55 employees in Seattle, SF, LA, and NY, Analytics Pros is the leading US market choice as a digital analytics partner, paving the way for how we will use digital analytics in the future. Whitmore is particularly interested in how to attract and build up Millennials to be excellent team members. She speaks internationally, sharing research about how her young company has created a culture where Millennials work hard and last in their roles. Whitmore serves on the international Digital Analytics Association Board, Cancer Pathways Board and on the Entrepreneurs Organization Seattle Chapter Board. Before Analytics Pros, Inc, she served as a pediatric oncology nurse at Seattle Children’s Hospital. Meina Zhou is a Senior Consultant and Data Scientist at Capco. Prior to Capco, Meina Zhou worked as a data scientist at Bitly for two years. Her core expertise lies in the application of proven data science tools and techniques to conduct business analytics and predictive modeling. Meina has used her business acumen and data science skills to solve business problems, such as churn and upsell predictive modeling. She also has a background in big data analytics and enjoys data visualizations. Meina is a thought leader in the data science world and is an active conference speaker. She enjoys public speaking and sharing innovative data science ideas with other people. Meina received her Master of Science in Data Science from New York University and her Bachelor of Arts in Mathematics and Economics from Agnes Scott College. Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with three decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including customer analytics, fraud detection, risk modeling, text mining, survey analysis, planned giving, and many more. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular keynote and technical track speaker at Predictive Analytics and Data Mining conferences worldwide, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs. He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987). Ms. Mecca, CMMI Institute’s Director of Data Management Products and Services, has solved enterprise data challenges for 30+ years. She is the managing author of the Data Management Maturity (DMM) SM Model. Her team created a business-centric method for evaluating an organization’s data capabilities, and she delivers actionable results for organizations in multiple industries. Ms. Mecca’s team developed a series of courses and web-based learning leading to the Enterprise Data Management Expert (EDME) certification. She presents and teaches seminars for conferences and webinars, and is a regular columnist for The Data Administration Newsletter. Ms. Mecca advocates measurement of data management capabilities as the quickest acceleration path for achieving business value, empowering governance, and advancing the organization’s data strategy. Pramod Bohra is currently working as Data Scientist in Tax and Accounting division within Thomson Reuters working on several data related projects. Prior to joining Thomson Reuters in 2014, Pramod has worked as a Solutions Architect with Hewlett Packard (HP) for 14 years. During his tenure at HP he has worked on several solutions to provide meaningful and actionable data insights to produce positive and profitable results for IT Asset Management. Currently, Pramod is working on design and implementation of multiple next generation data solutions at Thomson Reuters. Pramod has a Masters in Computer Science from UT Arlington and recently got his MBA from the same school. Pramod has participated in different Hackathon events at Thomson Reuters and won in 2015 and runner up in 2016. Dr. Sriram Vishwanath is with the Cockrell School of Engineering at The University of Texas, Austin as a Professor. He has over 150-refereed papers with roughly 20 years of experience in the domains of informatics, statistics and data science, and is a serial entrepreneur. Dr. Vishwanath and his team have developed highly accurate models for understanding healthcare outcomes and costs, and have applied them to a variety of applications. He received his PhD from Stanford University and MS from the California Institute of Technology (Cal Tech). Ted Harrington drives thought leadership initiatives for Independent Security Evaluators, the elite organization of security researchers and consultants widely known for being the first company to hack the iPhone. Mr. Harrington was recently named Executive of the Year by the American Business Awards, an international body that receives thousands of nominations from around the world. He has also been named 40 Under 40, where he was both one of the youngest inductees in the class as well as the only honoree from the field of information security. He is one of the organizers of popular hacking concept IoT Village, as well as one of the organizers of SOHOpelessly Broken, the first ever router hacking contest at esteemed security conference DEF CON. Mr. Harrington holds several special appointments, including to the California Governor’s Cyber Security Task Force, University of Southern California, California State University at San Marcos, and several others. He holds a bachelor’s degree from Georgetown University. Todd Mostak is the founder and CEO of MapD, a pioneer in building GPU-tuned analytics and visualization applications for the enterprise. Todd conceived of the idea of using GPUs to accelerate the extraction of insights from large datasets while conducting his Harvard Graduate research on the role of Twitter in the Arab Spring. Frustrated by the capabilities of conventional technologies to allow for the interactive exploration of these multi-million row datasets, Todd built one of the first GPU-based databases. Upon completion of his studies at Harvard, Todd joined MIT as a research fellow at the Computer Science and Artificial Intelligence Laboratory, focusing on GPU databases and visualization before founding the company in late 2013. Todd received his undergraduate from the University of North Carolina at Chapel Hill in Economics and Anthropology. Dr. Genetha Anne Gray is an analytics research scientist at Intel Corporation where she works on the design and development of machine learning algorithms and analytics capabilities for autonomous vehicles. Previously, she was part of the Talent Intelligence & Analytics organization where she analyzed talent supply chains, studied career progression, and modeled the changing representation of women in the workforce. While at Intel, Genetha has also explored how to apply her data science skills to combat the issue of human trafficking and assist the National Center for Missing & Exploited Children. Before joining Intel in 2014, Genetha spent 12 years as a member of the technical staff at Sandia National Labs in Livermore, CA. There, she has worked on problems related to the electrical and mechanical engineering of systems, the storage of nuclear waste, groundwater remediation, cyber security, and energy including renewables integration and grid operations. She has a Ph.D. in Computational & Applied Mathematics from Rice University and specializes in analytics techniques for decision-making under uncertainty including optimization, data fusion techniques, model validation, and uncertainty quantification. She has co-authored more than 25 research publications, given more than 50 presentations at conferences and at universities, and is active within INFORMS and many of the NSF-funded mathematical research institutes. Genetha and her father, William Gray, are co-authors of a recently released textbook on environmental modeling. Garrett is a practicing data scientist and serial entrepreneur working at the intersection of Artificial Intelligence and Digital Commerce. He is an active researcher and advisor in the area of consumer behavior analytics and speaks regularly on topics ranging from ecommerce data science to product management best practices. Currently, he is the Chief Data Scientist at Edgecase where he leads the organization’s research activities in areas such as applied machine learning, natural language processing and predictive analytics. In addition to founding Edgecase more than 5 years ago, he has spent nearly a decade working exclusively with enterprise ecommerce clients at leading retail technology organizations - such as Bazaarvoice and RetailMeNot - focused primarily on understanding consumer purchase behavior. During that time, he has focused his work on new web analytics measurement methodologies and technologies that have led to breakthrough insights into customer behavior for the world’s leading retail brands, such as Crate & Barrel, Staples, HSN, Travelocity, Neiman Marcus, Walgreens, Pier1 Imports, Columbia, Bed Bath & Beyond, Men’s Wearhouse, and Sur la Table. Outside of his professional ventures and research activities, he is very passionate about helping business’ bridge the gap between product management and data science. Working often as a consultant or advisor, he helps growing software product organizations define their machine intelligence investment roadmap and works with their teams to craft and execute against realistic product development milestones as they add intelligence to existing and new product offerings. Christine Preisach leads a Data Science team at SAP, which is in charge of integrating Machine Learning into IoT applications. She is shaping the Machine Learning strategy for SAP’s IoT offering and is making IoT applications intelligent. Her vision is that all applications are becoming intelligent, especially in the area of IoT. Christine joined SAP in 2010 and besides her leadership role has worked as a Data Scientist in customer projects and in product management for IoT products. She studied Computer Science and holds a PhD in Machine Learning form University of Freiburg and University of Hildesheim. Moreover, she is a mother of two children. Danielle Stein Fairhurst is the Principal of Plum Solutions, a Sydney-based consultancy specialising in financial modelling and analysis. She is the author of “Financial Modeling in Excel for Dummies” and “Using Excel for Business Analysis; a Fundamental Approach to Financial Modelling”, Revised Edition published by Wiley Finance 2015. With over fourteen years’ experience as a financial analyst, she helps her clients create meaningful financial models in the form of business cases, pricing models and management reports. She has hands-on experience in a number of industry sectors, including telecoms, information systems, manufacturing and financial services. Danielle has regular engagements around Australia and globally as a speaker, course facilitator, financial modelling consultant and analyst. She holds a Master of Business Administration (MBA) from Macquarie Graduate School of Management (MGSM), and has taught management accounting subjects at Sydney University. Stephen Smith is a well-respected expert in the fields of data science, predictive analytics and their application in the education, pharmaceutical, healthcare, telecom and finance industries. He co-founded and served as CEO of G7 Research LLC and the Optas Corporation which provided the leading CRM / Marketing Automation solution in the pharmaceutical and healthcare industries. He is a graduate of MIT with research in Artificial Intelligence and did his graduate work at Harvard at one of the first graduate programs in machine learning. He has published to best-selling books with McGraw-Hill: “Data Warehousing, Data Mining and OLAP” and “Building Data Mining Applications for CRM”. Alex Bordei is a developer turned Product Manager. He has been developing infrastructure products for over ten years. Before becoming Bigstep’s Director of Engineering, he was one of the core developers for Hostway Corporation’s provisioning platform. He then focused on defining and developing products for Hostway’s EMEA market and was one of the pioneers of virtualization in the company. After successfully launching two public clouds based on VMware software, he created the first prototype of the Bigstep platform, in 2011. He is engaged in mapping out ever more useful perspectives on the big data paradigm in order to encourage exploration and innovation through big data. Anatole Krattiger is Director of the Global Challenges Division at WIPO, dealing with the intersection of intellectual property and climate change, global health, and food security. He started his career as a farmer in Switzerland, has a Bachelors degree from the Swiss Technical Institute, a Masters in plant breeding and a PhD in molecular genetics, both from Cambridge University. He worked at one of the CGIAR centers (CIMMYT in Mexico), co-created and led ISAAA, a global non-profit broker of agricultural biotechnology applications for developing countries, served as Executive to the Humanitarian Board for Golden Rice, was Editor-in-Chief of the Handbook of Best Practices on Intellectual Property Management in Health and Agricultural Innovation (www.ipHandbook.org) and consulted widely at the crossroads of development, government, science, businesses, and philanthropy while also teaching at Cornell University and at the Sandra Day O’Connor College of Law at Arizona State University. Jenifer is an international psychologist, an arts-based researcher, and the founder of Project 1948. The heart of her work lies in Sarajevo, combining photography with human rights, a photo-voice for policy-change. She received her Ph.D. from The Chicago School of Professional Psychology. As an NGO consultant to the United Nations, she has committed to empower and advocate for global social change. By utilizing data science, she has prepared Project 1948 to influence policy-change. She lives in Tulsa, Oklahoma with her dog, Moscow. Tim is a chartered Management accountant with expertise in training and development. He is a director at the Agricultural Development Institute and a managing principle at Education and Development Training Institute of South Africa. Tim got exposed and engaged in the training and Development sector during his teenage years when he worked with his father who was a pioneer at the college’s business training program in Swaziland. Tim has had a deeper interest in training and development and has never looked back. With a passion for development Tim is also an established training facilitator and has worked in the sector for 15 years now. He is also a respected independent financial management and IT/IS business systems consultant. He specializes in strategy formulation for IT/IS, IT/IS risk management, and systems implementation. On the financial side he is a financial planning and budgeting guru that works to simplify things for non-financial managers. He has special skills in internal auditing and management accounting. Tim’s passion is with the youth and is concerned with issues of youth unemployment and development. This is why Tim is engaged in social activities using his skills and experiences in a way that can foster development from the grassroots to improve overall community wellbeing and sustainability by engaging in development initiatives that can benefit from his skills. Mrs. Semia Gharbi has a strong multidisciplinary background. She received a master’s degree in the environmental field, from the Faculty of Science in Tunisia. She is currently teaching life science and geology at the secondary school level with over 19 years affiliated under the Ministry of Education. Our project provides an out-of-classroom learning experience and rigorous curriculum. This equips youth and students with the confidence, independence, sustainability, skills and global competitiveness necessary for future generations. DecisionViz is a management consultancy that helps companies build leadership in the processes, people, and culture around data visualization. We created the ATHENA Rising™ Method, a strategic framework for accelerating visualization and analytics. DecisionViz is a Tableau Software Alliance Partner and Alteryx Solutions Partner. Lee Feinberg (www.linkedin.com/in/leefeinberg) is the Founder and President. Industry leaders frequently ask Lee to address domestic and international audiences, including Tableau Conferences, O'Reilly Strata, TDWI, and eMetrics. Lee is the founder of the NJ and NY Tableau User Groups, served on Tableau's Customer Advocacy Board, actively contributes to the Tableau Foundation, and is one of the few people worldwide to be named a Tableau Ambassador. Prior to founding DecisionViz, Lee led Nokia's Decision Planning and Visualization practice. He received a B.S. and M.S. from Cornell University and has been awarded a US patent in telecommunications. Tanya Cashorali is the founding partner of TCB Analytics, a Boston-based data consultancy. Prior to launching TCB Analytics, she worked as a data scientist at Biogen. Tanya started her career in bioinformatics and has applied her experience to other data-rich verticals such as telecom, finance, and sports. She brings over 10 years of experience using R in data scientist roles as well as managing and training data analysts, and she’s helped grow a handful of Boston startups. Diane Chang is a Principal Data Scientist at Intuit. During her tenure at Intuit, Diane has worked with the Consumer Group to perform in-depth behavioral analysis of the TurboTax online customers, and has explored the business impact of both online advertising spend and utilization of customer care services. Diane has worked with our Mint product to investigate how data science can be used to reduce risk. More recently she has been involved with the QuickBooks Financing team to use data to improve the likelihood of a QuickBooks small business obtaining financing. Arpit is a serial entrepreneur and the process started when Arpit worked his way in grade 6 to teach himself programming and write business applications for SMBs in accounting, tax and inventory management. Slowly the business ramped up into training, networking solutions and coaching as he graduated from high school. In mid 2000s, Arpit scaled his outsourcing product consulting to Japan, building embedded and network software for automotive and telecom companies. This business grew up into marketing research, HR manpower consulting and corporate training across India and Japan. Both these initiatives had a successful exit (acquired by iTT) and created sustained triple digit growth. Most recently Arpit help found a SAAS Company AA that was bootstrapped in the US (SF, TX). Arpit previously lead product-engineering teams in senior leaderships roles at AMZN, YHOO, ORCL, RAX etc. At AMZN he launched SAAS enterprise and consumer products, at YHOO he built trust and safety organization, launched several search and AdTech products for 4 screens. He joined as a founder leader of new communication BU at ORCL scaling it to 250 people organization. RAX invited Arpit to build the analytics sciences organization and KPI for the hybrid cloud. Over the last two decades Arpit has launched beta/1.0 products, maintained legacy systems, setup cross geography teams, spoken at conferences, filed patents (33), cofounded a boutique-consulting firm, advised customers and help build four startups. A unique amalgamation of AdTech, eCom, cloud, ML and data, is keeping him busy these days, transposing the skills to Fintech (underwriting, lending, credit scoring et al) www.linkedin.com/in/ArpitGuptaPhD Rakhee is a highly talented product development executive with work experience in the US, India and Middle East. She possesses extensive experience in defining business strategies and executing the go-to-market strategy for the product. She is capable of effectively communicating with technical and non-technical staff at all levels. Her objective is to provide solutions that optimize the business by maximizing results within given business rules and constraints. These solutions extend Machine Learning and Data Mining technologies into a Big Data environment to support and automate decision support. www.linkedin.com/in/RakheeSinghal James Gray runs data partnerships at data.world, which is a Public Benefit Corporation and certified B-Corp with a mission to build the world's most abundant, meaningful, and collaborative data resource in the world. James has a long track record of helping startups and technology companies in Austin spin up new marketing initiatives, partnerships, and revolutionary products. Speaker First Name Select Anja Speaker Last Name Select Von Der Ropp Speaker Bio Select Anja von der Ropp is a Program Officer working in the Global Challenges Division of the World Intellectual Property Organization (WIPO). The Division was established to ensure that WIPO contributes its specific expertise to the global debates about major public policy issues, including, in particular, climate change, food security and public health. Her activities at WIPO currently focus on climate change. She primarily manages WIPO GREEN, a platform launched in 2013 to facilitate innovation and diffusion of green technologies with a network of more than 5000 Partners and Users. Ms. von der Ropp studied law at the University of Konstanz, Germany, where she graduated in 1999. She passed her German bar exam in 2001, after which she worked as a journalist, responsible for a newsletter on European health law and policy. She completed a Master's Degree (LL.M.) at the College of Europe specializing in intellectual property law. Before joining WIPO in 2005, she worked as a researcher and lecturer at the University of Bremen. Distance Select 5 Miles 10 Miles 25 Miles 50 Miles 100 Miles 250 Miles Reset Filters Collapse Filters Reset Filters Events for July 28, 2017 › Comprehensive No matching events listed under Comprehensive scheduled for July 28, 2017. Please try another day. Day Navigation
