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 >
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.
Machine learning has matured and a quiet revolution is happening at a platform level; with the landscape changing rapidly.
Huge opportunities exist for B2B organisations to exploit there rich data resources and new platforms are evolving to meet this opportunity.
This next generation of platform hides the complexity of data science and delivers an end to end service to deliver prescriptive insights – from data gathering to predictive recommendations with built in performance monitoring.
In this session we’ll cover:
· Why we are moving into the era of the machine and how the predictive tools market is evolving.
· Why machines do prescriptive BI (actionable insights) better than humans.
· How data enrichment enhances predictability and removes data quality blockers.
· The architecture to offer data science as a service.
A data strategy is only as good as its execution. In the world of Data Science it has become increasingly apparent that business leaders focus on the technical aspects for success in data projects, when in fact the quality of the data team is key. I will in this talk share my experiences training data scientists, and give some key insights into how to build an effective, high-performing Data Science team.Read more >
The office environment for working has been left almost unaltered for 150 years, even though the tools in the office have evolved immensely from quills, pens and ink, via typewriters and mainframes, to laptops, tablets and smartphones. Even within our computing environments, a revolution has been taking place with the advent of internet and cloud applications. With all this innovation in office tools, why does the office itself still look the same?
By allowing your teams to be distributed over multiple locations you give your organisation the competitive edge to hire the best talent globally, the ability to quickly scale its work force up and down and the chance to save great sums of money on overhead costs. In this talk, I will cover our experiences in running data science teams online in our Virtual S2DS programme and I will share concrete tips on how to set up and run distributed data science teams.
Predictive analytics or its alter egos - data science, machine learning or AI - can, if implemented correctly, offer an impressive ROI. Moreover, together with new technologies and products being developed, the data-driven approach becomes more accessible every day. Even very small businesses can leverage the value of predictive analytics. In our experience, the value added is even closer to achieve for them than for large corporates.
Why is that? What are some typical applications of predictive analytics for small companies?
In the webinar we will talk about:
examples of business problems that can be solved using predictive analytics
what infrastructure, data and tools are typically needed
how to get buy-in of the key people
how to make seemingly complex solutions look simple and understandable
how to start with a low-cost working solution and improve iteratively
the role of proprietary datasets and algorithms as a competitive advantage
protection of IP connected to analytical solutions
We will cover the step-by-step process of making the predictive analytics a core element of a small company, in a way that is comprehensible to everyone using real-life examples.
The current institutional structure of police forensics gives each lab a monopoly in the analysis of the police evidence it receives.
Forensic scientists have inadequate incentives to produce reliable analyses of police evidence. We should have "competitive self regulation" for police forensics. Each jurisdiction would have several competing forensic labs. Sometimes, evidence would be divided and sent to three separate labs. Chance would determine which labs would receive evidence to analyze. Competitive self regulation improves forensics by creating incentives for error prevention, detection and correction. Surprisingly, it would also reduce the costs of running the criminal justice system.
Seeing and understanding data is richer than creating a collection of queries, dashboards, and workbooks.You will see how visual and cognitive science explain what makes data visualization so deeply satisfying. Why does a collection of bars, lines, colors, and boxes become surprisingly powerful and meaningful? How does fluid interaction with data views multiply our intelligence? Three decades of research into the beautiful science of data visualization explain why history have converged at this moment, and why interactive data visualization has brought us to the verge of an exciting new revolution.Read more >
Financial Services is undergoing a major transformation and it is very evident that Banking as we know it will change dramatically over the next few years. Previous webinars has spent some time over the last year defining the Big Data landscape in Banking across Capital Markets, Retail Banking, Wealth & Asset Management, Hedge Funds etc. At the same time, Predictive analytics and data mining have been growing in popularity in recent years.With that background, let us begin examining the popular applications of Data Science in the financial industry.Big Data centric business initiatives in financial services have begun realizing value leveraging Data Science a range of areas as diverse as – the defensive (Risk, Fraud and Compliance – RFC ) to achieving Competitive Parity (e.g Single View of Customer) to the Offensive (Digital Transformation across their Retail Banking business, improved Trading Strategies in Capital Markets, to RoboAdvisors in Wealth Management). Join us on this webinar on Feb. 18th to learn more about Hadoop and data sciences in the financial services industry!Read more >