Empowering business growth with disruptive technologies like the Internet of Things (IoT), predictive analytics, and artificial intelligence has become a norm in IT, and machine learning is leading the way, as software applications are becoming smarter to improve our business and personal lives. With massive improvements in hardware and Big Data, machines can sense, understand, interact, predict, and respond to solve industry business problems. Learn more with this article from Digitalist Magazine.
Humans all over the world have mixed feelings on the power of artificial intelligence and what it might do to society and jobs. Many are scared and afraid. What most people do not take time to do is research how it’s doing good for the environment, health system and governmental issues. Download this report to learn all of the different ways that artificial intelligence is contributing to the world in positive ways.
In an industry as complex and highly regulated as life sciences, how does one get started on their company’s intelligent automation journey? With help from our Advisory Board and speaker faculty, we at the Intelligent Automation in Life Sciences event created this industry-specific short video that explains the 3 steps to implement successful intelligent automation tools.
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Life science companies need to bethinking about integrating enhanced automation into their workforces. From KPMG's Ashra Shehata, this whitepaper explains how some life science companies already use a degree of automation (i.e. lean and Six Sigma processes). Other will do well to follow in their footsteps in order to make inroads towards speed and flexibility.
Leveraging RPA for the Business via Outsourcing Collaboration by Shuchita Singh, Director - Outsourcing Governance, AbbVie
An enterprise-wide Intelligent Automation CoE is an effective way to roll-out automation across various business lines, but the absence of such a central function requires creative approaches to harness automation. Through this Case Study, we will discuss:
- Why RPA was required to advance business function
- What was the optimal approach in the absence of a fully-functional Intelligent Automation CoE
- How to leverage third-party relationships to advance the approach
Companies of all types are leveraging intelligent automation to not only boost efficiency, but to help power their digital transformations—to innovate better, boost customer service and satisfaction, empower employees, and increase revenues and profits. As pharmaceutical firms work to close the gap between rising R&D costs and profits in an environment of increasing regulatory control and testing, Intelligent Automation (i.e. RPA, Cognitive Computing, AI, etc.) is expected to become a key enabler of increased profitability over the next decade. In this interactive infographic, we outline the top 5 ways Intelligent Automation is transforming the life sciences industry:
- Warehousing & Distribution
- Operational Excellence
- Data Management
- Personalized & Specialized Medicine
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