Published By: PatSnap
Published Date: Sep 27, 2019
Out-of-box tools that use AI, machine-learning, and real-time intelligence are driving the commercialization of IP today. However, IP professionals are faced with a dizzying array of offerings on the market. What features are must haves for IP teams in 2019? What processes will streamline the commercialization process?
This eBook works as a clear guide in identifying the tools IP teams need to commercialize with confidence, in 4 easy-to-action workflow tips:
1. Confirming patent novelty easily
2. Deciding on ideas that are worth pursuing
3. Collating key data via analysis and patent landscaping faster
4. Mitigating bottlenecks through interdepartmental collaboration
Collaborative helped a research company transitioning to commercialization identify critical timelines, tasks, milestones and resources required to bring a new drug to market. As part of the project, leaders were given the information and tools they needed and the business began building the strong foundation necessary for a successful launch.
Commercial launch is a critical and complex period in the Life Sciences product life cycle. The transition from clinical development to commercial operations can seem overwhelming as companies face considerable challenges in transforming from an R&D-driven organization to one focused on achieving in-market business and commercial excellence. Core to successful launches is preparing the company for a whole new raft of capabilities, processes, and relationships, and in doing so there are a number of factors included in this checklist that companies should consider and questions they should answer.
By simplifying the ability of companies to securely extract, orchestrate and act on data from when it is generated by energy assets to when it is transmitted to the cloud, Octave simplifies the development and commercialization of Energy IoT applications. With Octave, energy companies are empowered to realize the Energy IoTs tremendous potential, with new demand response, energy efficiency optimization, predictive maintenance and other applications that maximize the value created by energy assets and minimize their environmental impact. In doing so, these Energy IoT applications can reduce energy costs, improve customer engagement, lower greenhouse gas emissions and increase energy reliability.
Start with Sierra to learn more about how our Octave D2C data orchestration solution can help you bring to market Energy IoT applications that reimagine the future of energy.
IBM Watson Health aims to transform the drug development process for life sciences from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
BM Watson Health aims to transform the drug development process for life sciences from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
Published By: DocuSign
Published Date: Apr 24, 2018
Life science companies are experiencing a significant transformation in how they bring new products to market.
Organizations must adapt to changes in the marketplace, such as global product commercialization, specialized medicine, new regulations, new payment models, and new technology that are driving more product variety, smaller drug volumes, and shorter product life cycles.
To meet the needs of this new commercial model, life science companies must re-envision the global supply chain and evolve the tools they use to run their business. The supply chain that was designed for launching blockbuster products will not work in the future.
Today, the global supply chain relies on a manual, paper-based process centered on printing documents and sending them via overnight mail, fax, or e-mail with scanned attachments. This time-consuming and costly process is errorprone, tedious for customers and team members, and vulnerable to security and compliance risks.