Scottsdale, AZ, USA
↓ Agenda Key
Visionary speaker presents to entire audience on key issues, challenges and business opportunities
Panel moderated by Master of Ceremonies and headed by four executives discussing critical business topics
Solution provider-led session giving high-level overview of opportunities
End user-led session in boardroom style, focusing on best practices
Interactive session led by a moderator, focused on industry issue
Pre-determined, one-on-one interaction revolving around solutions of interest
Discussion of business drivers within a particular industry area
Analyst Q&A Session
Moderator-led coverage of the latest industry research
Several brief, pointed overviews of the newest solutions and services
Overview of recent project successes and failures
Open Forum Luncheon
Informal discussions on pre-determined topics
Unique activities at once relaxing, enjoyable and productive
*An exclusive invitation only, pre-summit think tank for CIOs
As organizations grow and reach a certain size, they frequently share a common characteristic. It is the affliction of the right hand not knowing what the left hand is doing. Incapable of reciprocal operation with other management systems, an information silo is a system steering towards its doom. The symptoms of the silo effect are easy to recognize: lack of cooperation, internal competition and breakdown in communication. What can we do to eliminate the silos? Knocking down the barriers can be an important contributor to value creation - and it will make way for sharing services, skills and systems across units, all the while encouraging best practices.
In order to be successful in an ever-evolving market, life sciences companies must be keenly aware of the latest IT and business trends impacting the industry; and quickly embrace and implement the IT solutions that will address the challenges of the business changes. Recent studies show that some of the issues of greatest concern to bio-pharmaceutical executives are the changing commercial business model, regulatory compliance, pipeline growth, fragmented business processes and access to accurate data. This presentation will discuss best practices for addressing these and other issues with innovative IT solutions that promote speed, flexibility, agility and collaboration. Cloud computing, mobility, analytics, digital profiling and other IT tools will be discussed.
Describing the role IT can play in supporting, governing and building the enterprise capability required to drive digital channel marketing success within a life sciences organization. This session walks through one successful approach for enabling effective partnerships between Brand teams, Agency and various service providers to deliver quality digital solutions.
Enterprises are convinced that they must embrace mobility and unlock its potential benefits. However, this area is still evolving and there are few best practices and standards. New tools, technologies and approaches are emerging frequently to address the enterprise needs. We will discuss the challenges faced by CIOs as they integrate mobile devices into the enterprise and also how they are pushing forward in spite of the nebulous environment. We will briefly cover the technology landscape and discuss how the pharmaceutical sector is committing to mobility programs that drive business value. We will close with a discussion of the high-priority enterprise mobile applications for pharmaceutical companies.
In this presentation we will discuss how we can deliver a unified data storage and management solution that can accelerate data ingestion from the instruments, increase the performance of an in-place sequencing pipeline - and have the ability to intelligently archive and share research data in a geographically distributed manner. We will also discuss how the use of high performance, scalable storage building blocks can deliver an array of flexible, highly scalable and easy to manage storage solutions that are helping research groups around the world accelerate their time to discover,y with innovative storage and archival solutions that have lowered the cost and simplified the processing,retention and management of the data life cycle.
From pharmaceuticals to global health to the environment, twenty-first century life sciences companies are transforming into data-driven life sciences companies, leveraging vast amounts (and new forms) of data.
A strong emphasis on analytics and data discovery for new insights is introducing challenges in how data is leveraged into the fabric of life sciences organizations. Todays analytic challenges for life sciences companies, then, can be separated into three distinct categories: the integration challenge, the management challenge, and the discovery challenge.
This presentation will discuss how embracing a data unification strategy through the adoption and continued refinement and governance of a semantic layer to enable agility, access, and virtual federation of data, as well as by incorporating solutions that take advantage of scalable, cloud-based technologies that provide advanced analytic and discovery capabilities " including visualization " life sciences companies can continue to become even more data-capable organizations.
Given changes in the market for pharmaceuticals, the effective use of social media, collaboration tools, and mobility will be key for life science and pharmaceutical companies seeking to grow and innovate effectively with the market. This session will focus on the CIO agenda for Mobile, and how to stay on top of demand with a proactive Mobile strategy. We will share key lessons learned on how to promote innovation while maintaining control over digital initiatives.
Service relationships exist throughout the enterprise. They connect requesters of a service and providers of those services. While service relationships are well defined and automated within enterprise IT, they are inefficient, unstructured, or non-existent in other enterprise service domains.
This session will describe the vision for the future of IT and the role IT leaders will play in the evolution of service as well as a perspective on applying the IT service model to automate and manage service relationships inside and outside the enterprise.
The age of inexpensive genomic sequencing, imaging, and other large data generation is upon us. With the new research sciences are an exponential demand for more storage, compute and bandwidth. Traditional "best practices" get challenged as IT becomes either the new collaborative, innovative partner with the researchers, or becomes the slow, expensive roadblock to continued growth and competitiveness. In this session, we'll discuss various challenges and solutions around developing and managing multi-petabyte scale IT in Life Sciences Research.
Time and information are business assets. Applied together, they can have a compounding effect on business value. In this session we will explore the value of time in applying information to opportunities and challenges. Learn how time has a compounding effect on the value of information, and hear examples of how some companies have benefited from that effect. We will introduce the concept to frame a discussion around strategies and technologies you can use in your organization to achieve breakthrough results.
Discover how you can reduce the time between business event and action and use that time to change your business.
The scale and breadth of the challenges facing the Life Sciences industry in the coming years are truly breathtaking. A changing health market, new regulatory pressures, even-higher hurdles for innovation and declining R&D productivity are all taking their toll on traditional business models and biomedical research.
Traditionally, pharmaceutical companies were bound by their organizational structure. IT services was aligned to the individual business units (i.e. R&D, Operations, Sales and Marketing), and provisioned directly to them. Today, the industry is responding in a number of ways, including moves towards new organization models in R&D and Commercial, a drive to lean operations and an increase in M&A and licensing activity. The Life Sciences industry must take a hard look at the way they perform IT operations and decide if these methods and solutions are sufficiently effective.
The American Life Sciences industry are operating in an environment of unprecedented and unrelenting change. Companies are faced with harnessing the promise of great discoveries amid the challenges of increasing regulations, pricing pressures and heightened market and public expectations. Organizations must act quickly, responsibly and effectively to grow and pick market shares. What are the strategies Life Sciences organizations must adopt to achieve success over the next decade? This panel will discuss some of the challenges the CIOs will have to face, and how they can utilize innovative IT solutions to overcome them:
The Big Data sets created by the Healthcare System (academia, biopharma, government, healthcare delivery and payors) are creating opportunities and challenges to deliver more effective care and solutions. Consolidated data sets from multiple sources, providing a single version of the truth, need to implemented and maintained across disease spectrums - from the bench to the bedside. Over the past several years, new architectures (Cloud, hybrid FPGA and GPU), originally developed for the commercial markets, have gained an important foothold in research and development. Used in combination with traditional High Performance Computing (HPC) architectures they can significantly shorten discovery cycles. Efficient conversion of discoveries into effective medicines will require seamless integration of not only discovery and applied science, but also the exploratory and goal-oriented cultures in academia and industry. Effective Big Data research collaborations across academia, government, industry and healthcare delivery will create a cost effective Healthcare System.
Life Science companies have seen a set of massive paradigm shifts in recent years. These include consumerism and patient centricity through large increases in the cost of R&D, through pricing fluctuations and addressing revenue management. Therefore the need for better commercial operations.
To achieve this, there is a move towards "Commercial Excellence." During this session, we will share with you some perspectives on ways organizations can take positive steps internally with technology accelerators and at the same time keep watch of external influences to monitor and develop proactive strategies.
This interactive session will enable us to share our views with you, on the nine dimensions of Commercial Excellence and the technology accelerators that align with these dimensions. Participants are encouraged to share their experiences with CRM and Key Account Management, Enhancing the capabilities of the Sales Force, Multichannel Marketing, deploying and overseeing Social Media and other alterative channels.
Typically drugs have been repurposed following serendipitous observations. Now, however, there are a number of computational methods that can evaluate and suggest new indications for a drug. We will discuss some of these methods that are based on genetics, gene expression signatures, text-mining literature, and pathways.
This open-forum session will discuss how personalized medicine - as defined by the concept of using genetic data and significant IT resources to provide specialized medicine for individual patients - is slowly moving into the Life Science and Healthcare mainstream, though only a few practical applications exist to date. When it does become more practical, it may be a financial blessing. New reports suggest that personalized medicine could provide significant ROI for all of the key stakeholders.
Clinical research and clinical care both seek to improve health outcomes. Traditional clinical research has focused on prospective studies to identify factors for improving care and prevention. Process improvement and quality initiatives seek to improve the delivery of care and optimize the patient experience for better individual outcomes. Both types of data can be effectively combined and mined using data warehousing. However, overseeing the appropriate use and interpretation of these data can be difficult. We will present one possible approach for handling clinical research data, identifying participants in the medical record, and one strategy for appropriately coupling high dimensional data such as genomic data to clinical outcomes.