Now that the Data Science hype is levelling out, many companies are wondering what went wrong as they could not extract values from their data science efforts.
In this webinar we will explore what does it take to apply data science and machine learning in the real world.
Key takeaways include:
- How can you go beyond the traditional data warehouse when doing machine learning
- How should you adapt your processes to keep monetizing on your data
- How to close the feedback loop between your customers and your machine learning models
- What kind of profiles are essential to successfully become a data driven organization
Jupyter notebooks are transforming the way we look at computing, coding and problem solving. But is this the only “data scientist experience” that this technology can provide?
In this webinar, Natalino will sketch how you could use Jupyter to create interactive and compelling data science web applications and provide new ways of data exploration and analysis. In the background, these apps are still powered by well understood and documented Jupyter notebooks.
They will present an architecture which is composed of four parts: a jupyter server-only gateway, a Scala/Spark Jupyter kernel, a Spark cluster and a angular/bootstrap web application.
Want to grow your content career? Lead a content team and would like to empower them with up-to-date knowledge and skills? Wish there was an easier way to start a center of content excellence? Learn about a new option to address those needs, Content Science Academy, in this interactive webinar.
Join me, Scott Abel, The Content Wrangler, and my guest, Colleen Jones, CEO of content intelligence + strategy firm, Content Science, for a review of the Content Science Academy. Attendees will:
* learn what Content Science Academy and its purpose are
* get introduced to topics covered now
* have the chance to express opinions about upcoming topics
* learn how to use Content Science Academy as an individual or an enterprise
* obtain a code for a 25% discount on a course or certification
ABOUT THE PRESENTER
As CEO of the content intelligence + strategy firm Content Science and a Star Wars fan, Colleen Jones regularly advises top organizations on becoming Jedi Masters of content. Colleen spearheaded the development of ContentWRX, a software service that has collected more than 70,000 data sets to assess content effectiveness. Colleen wrote the cornerstone content book "Clout: The Art and Science of Influential Web Content" and speaks at conferences and client events around the world.
Data science is a domain which promises to convert the available data in actionable insights. This could translate in huge wins for the organizations both in financial terms (higher revenues, reduce costs) but also in terms of better services for the customers with more tailored products and a personalized and improved customer experience.
But how to get those results out from the initial intuitions of statisticians and scientists to the customers? What is the best way to translate those solutions in production-level APIs and services? How to asses the quality of data-driven algorithms? These are very concrete concerns for anyone who wishes to operationalize data science into data-driven products.
This webinar will describe a number of techniques and patterns to monitor and deploy data models and to stay in control of predictive, data-driven services.
Banks have a vast wealth of mineable data available to them, but traditionally have provided their customers with little feedback beyond a balance and list of transactions.
In this talk Charles Leahy, Tech Lead at Hufsy, looks at ways in which tools such as visualisation and machine learning can be employed to give users meaningful insights, helping them make the most of their money.
Leading pharmaceutical manufacturers and clinical research organizations are investing in digital operations across the development and commercialization spectrum to improve efficiency, accuracy, and trust when bringing new products to market.
Watch this on-demand webinar to hear from digital trailblazers and adopt best practices to ensure that your organization is collaborating effectively and building a safe global trust network for digital success.
Topics covered include:
• Applications for digital transactions and signatures
• Identity management
• High impact regulated use cases
• Compliance with global and industry regulations
• Best practices for digital adoption
Watch and learn how Documentum Research and Development (R&D) and Documentum Submission, Store and View (SSV) ensures alignment with global regulatory guidance to speed submissions.
Listen as Lena Shafir, Product Manager, Life Sciences Regulatory Solutions, provides an overview of recent enhancements to Documentum Research and Development (R&D) and Documentum Store and View (SSV). She’ll also cover how our latest release (4.2) delivers lifecycle support for medical device documentation and ensures alignment with global regulatory guidance to speed submissions.
Good data is the key to innovation, solid research collaboration, and, ultimately, the creation of life-saving drugs and treatments.
But does your IT strategy reflect this? All too often, data is compromised and constrained by the needs of your enterprise’s applications. Join our webinar to discover a new data-centric approach to IT that's radically changing the biggest names in life sciences.
By moving to a data-centric model, your organization will be better poised to:
•Integrate data regardless of source, volume, and variation
•Quickly and easily change out applications
•Uncover unique insights
Gary Palgon, CISSP and VP, Healthcare and Life Sciences at Liaison, will demonstrate how to apply this innovative data-centric approach in a life sciences environment.
For online retailers and media players, performance means business. Using Data Science helps companies gain a competitive edge with respect to customer experience, IT performance, and business outcome. The question is, “how?”
Join Mat Ball and Iris Lieuw for a tech talk on how SOASTA data science can give your company a competitive advantage in your market.
The talk will showcase SOASTA’s data science capabilities, but will also provide a glimpse into how e-commerce and media players are using data science for the following:
– Biz-Ops, combining marketing and performance analytics to maximize marketing campaigns in real-time
– Efficient webpage prioritization for IT workloads and Senior Management Visibility
– Getting the most accurate alerting based on your entire user event history
Join this live roundtable to learn about data science from a wide variety of angles, from the infrastructure to the visualization.Read more >
Big Data and Data Science are multi-faceted concepts. In all of their guises, they are driving revolutionary changes in nearly all social, public, and institutional settings. One of most significant and far-reaching developments is the democratization of Data Science. Now everyone and every organization is "doing it".
In this presentation, I will describe some of the most prevalent characteristics and concepts surrounding the current activities associated with Data Science. I will then describe the importance of Data Science as a research discipline and as an application methodology for making advances in Big Data Analytics.
Following the discussion of these concepts (steps toward making discoveries from Big Data), I will then describe some of the misconceptions (missteps on the road to discovery) that can afflict current Big Data efforts.
Over the past eight years, Trulia has amassed a number of huge datasets related to real estate, geography, and the activity of its users. We have successfully built out our data science team with the goal of turning this data into new product offerings and improved monetization.
This talk with look at our decisions in assembling this team, including what the core competencies should be and tradeoffs between engineering and analysis skill sets. We will also look at the projects the team has undertaken.