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.
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.
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.
The second part of the two-part series on the US Federal Life Sciences market focuses on the two of three EMC pillars: IT Transformation and Trust. The architecture and infrastructure that has powered the faster-than-Moore's-Law growth in Life Sciences, specifically Genomics will be presented along with Trust. Trust, and not technology is the singular issue that will determine the progress of Genomics into the practice of Precision Medicine.Read more >
Fueled by the life-changing technologies of genomic sequencing, genotyping, gene expression analysis, and bioinformatics, Life Sciences organizations are experiencing intense growth in data. Life Sciences researchers are generating massive amounts of data with storage retention requirements from two years minimum to perpetuity. The technologies and tools driving biomedical research and drug development such as next generation sequencing (NGS), genomic analysis, proteomics, and high content screening (HCS) also pose immense challenges to managing data throughout the data lifecycle - from generation, to analysis, to archive.Read more >
New reimbursement models, clinical technologies, and consumer expectations are driving life sciences companies to rethink how they improve the patient experience.
Hear Salesforce’s industry leaders share innovative approaches to supporting patients. See a live demonstration of how your organization can deliver patient-centric care through their journey onto pharmaceutical and device therapies.
Dr. Peter Jeschofnig, Director of the Institute for Excellence in Distance Science Education and Linda Jeschofnig, CEO of Hands-On Lab’s Inc. have been engaged in distance education for over 20 years and are the authors of Teaching Lab Science Courses Online. They will review current best practices in online instruction, including topics ranging from Course Design, Student Engagement, Discussion Boards, and Alternative Assessments, to Academic Integrity. They will also discuss how these practices are used in teaching laboratory science courses fully online.Read more >
Do you know when patients want services to help them to manage their health? Do you know how they want to receive those services?
Please join us and your peers for a webinar on Tuesday, August 18 at 8:30 am PST where we will share the key findings from an Accenture survey of 10,000 patients around the world on their unmet services needs in seven therapeutic areas across the entire patient journey.
In addition, we will share:
- Leading edge practices in patient services;
- Key factors that are shaping the future of patient services;
- A demonstration of Accenture’s Patient Engagement Salesforce - FullForce Certified Solutions, part of Accenture’s groundbreaking Intelligent Patient Platform.
Learn how pharmaceutical companies quickly execute their patient-centered strategies using outcome-based analytics to deliver a uniquely designed experience and improved patient support.
Come see the future of patient services!
Anne O’Riordan, Accenture Global Life Sciences Practice Lead
Tony Romito, Accenture Life Sciences Managing Director, Life Sciences
Rich Sherman, Accenture Life Sciences Connected Patient Technology Lead
Josh Newman MD MSHS, Salesforce Chief Medical Officer and GM Healthcare and Life Sciences
As the molecular profiling Caris Life Sciences performs for cancer patients has advanced, the company’s needs for managing high-performance analytics and storage have grown exponentially. Its next-generation sequencing (NGS) processes are now fully supported by IBM supercomputing technologies, including processing by IBM NeXtScale System servers.Read more >
Free webinar to help you learn how to leverage Big Data and predictive analytics through Recommendation Engines to enhance your customers’ experience and boost sales. These days, retailers have an opportunity to collect and analyze consumer information from a wide range of sources, deepen their understanding of customer preferences and thus, more accurately identify shopping patterns and deliver highly targeted, location-based promotions, in real time. Recommender systems change the way online retailers communicate with their customers. Find out how by joining the webinarRead more >
Life Sciences & Health Director Dr Catherine Butcher will guide you through the key considerations when communicating complex scientific and technical information.
She will cover the importance of:
-Getting the brief right
-Understanding your audience
-Creating credible content
The organization of forensic science creates inappropriate biases that will sometimes skew results from the truth. These biases exist even when forensic scientists are perfectly rational and untouched by the sort of psychological infirmities some researchers have emphasized.
Because perfectly rational actors are Bayesian updaters, we may use the term "Bayesian bias" to identify this organizational problem in forensics.
Join this webinar to learn how the University of Georgia (UGA) uses Apache Spark and other tools for Big Data analytics and data science research.
UGA needs to give its students and faculty the ability to do hands-on data analysis, with instant access to their own Spark clusters and other Big Data applications.
So how do they provide on-demand Big Data infrastructure and applications for a wide range of data science use cases? How do they give their users the flexibility to try different tools without excessive overhead or cost?
In this webinar, you’ll learn how to:
- Spin up new Spark and Hadoop clusters within minutes, and quickly upgrade to new versions
- Make it easy for users to build and tinker with their own end-to-end data science environments
- Deploy cost-effective, on-premises elastic infrastructure for Big Data analytics and research
Join us for an interactive conversation as we discuss the future of technology in Life Sciences. Subject Matter Experts from Dell Services will share industry trends, use cases and customer stories featuring innovative technology, and provide best practices on how your organization can become future-ready.Read more >
Thought Leaders from Dell Services Healthcare and Life Sciences will guide a live conversation on R&D in Life Sciences. How are successful organization utilizing people, processes and technology to carry their organization in to the future? James Hayden, Dr. Harsha Rajasimha, and other special guests will discuss this and more - and they will field your LIVE questions, making this a truly interactive discussion.Read more >