Humanity is faced with numerous ecological sustainability challenges at an unprecedented magnitude and scale with climate change being the most serious and pervasive globally. Simultaneously, spatially explicit data and information needed to effectively respond are being generated at an enormous rate, but too little of it is finding its way into day-to-day decision making. To bridge science and action, the Conservation Biology Institute pioneered Databasin.org to enable integration and collaboration of climate and other geo data. Through the power of geo data and mapping, this talk will highlight examples of how climate change and related data can be used to plan for change. Successfully addressing this need, which encourages broad participation, will lead to better health, greater wealth, and higher global security.
This panel looks at the intersection of climate data and technology development. There is no shortage of climate data from scientists, government agencies and private research organizations. The key is to choose the relevant data and figure out ways to create solutions from them that will help to minimize the impact of climate change. The panelists will discuss what types of data are a good fit for developing new technology and business models in sectors such as renewable energy generation, agriculture, energy efficiency and transportation. But having the right data alone isn't enough. The panelists will also talk about the challenges of making good use of the data and what new data will help accelerate the development and deployment of better solutions.
10:50am Gil Elbaz, Factual
Milking Data-as-a-Service for all it's worth
11:00am Anthony Goldbloom, Kaggle
Can Data Science Really Do That?
11:10am Bruno Aziza, SiSense
The Future of Data
11:20am Cameron Evans, SocialCast
How Social Data Will Shape the Enterprise
12:30pm Sam Parker, Disqus
Picturing the Web of Discussion
12:40pm Christine Brumback, Fitbit
Introduction to Fitbit and Consumer Health Data
12:50pm Richard Pulliam, Layer 7 Technologies
Using APIs to Get Focus on Big Data
How should a company work? From real-time market intelligence to transparent collaboration / productivity systems to marketing automation across sales and advertising data - the future company is a data-driven company. What will fundamentally change in the new intelligence-driven enterprise? Is the big opportunity of the data-driven enterprise around sales and marketing optimization or productivity and operational optimization?
2:20pm Sara Vera, Causes
Personality Primer of Online Activists at Causes
2:30pm Beau Cronin, Salesforce
In machine learning, simpler is not always better
2:40pm Steve Sims, Badgeville
Gamification & The Rise of Behavior Data
2:50pm Ben Zamanzadeh, DataPop
Semantic Data will Shape the Future of Data
What does it really mean to 'democratize data'? There are many bottlenecks to making data more accessible including: opening up data sources, standardizing and tagging data for discovery, enabling "data science" and predictive analytics to turn data into action, or data visualization / analytics tools that help communicate the data. From a business perspective, does 'democratizing data' mean 'commoditizing data'? From a sociological perspective, how would our individual lives change if data were more accessible to any small business or consumer? What are the next big bottlenecks to democratizing data?
When it comes to Big Data, the technology may have out-paced the ability of mere mortals to adopt it. With a dozen Hadoop or NoSQL technologies, few if anyone is actually up to date on the benefits of present technologies. This has spurred a new wave innovation around Big Friendly Data technologies - technologies that make big data solutions more accessible to non-wizards. What big data solutions have been inaccessible for the past several years, and what are the use cases of how web startups or Fortune 5000's can benefit? If big data solutions were more accessible, what new markets would most benefit?
