The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality.
This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data.
Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Superior business outcomes require businesses to consider IT a core competency. For IT, an agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service delivery model.
Dell EMC’s Intelligent Automation powered by Intel® Xeon® Platinum processor simplifies the management and maintenance of its PowerEdge server hardware. Designed to drive down the cost and resources associated with server lifecycle management, Intelligent Automation relies on integrated Dell Remote Access Controller(iDRAC) and OpenManage server management soft
Published By: DigiCert
Published Date: Jun 19, 2018
The Internet of Things (IoT) has rapidly transformed the digital landscape and the world we live in. Intelligent devices and sensors connect smart cars, robotic manufacturing equipment, smart medical equipment, smart cities, industrial control systems, and much more in a way that improves lives and saves businesses billions of dollars. But along with its benefits, rapid IoT growth introduces a new dimension of security vulnerabilities that dramatically escalates the nature and seriousness of cybercrime risks.
In addition to traditional confidentiality cyber risks, IoT threats include attacks that can:
• Render smart appliances useless
• Shut down city power grids
• Threaten lives through hacked pacemakers and other medical devices.
Such security flaws not only endanger lives, frustrate customers, and disrupt business operations, but they create significant cost and public relations damage for IoT developers and manufacturers.
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence, automation, Internet of Things, blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies.
We call this next-generation business model the Cognitive Enterprise.
In our 27-criterion evaluation of global internetof-things (IoT) services for connected business operations providers, we identified the 14 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, Dimension Data, EY, HCL Technologies, IBM, Infosys, KPMG, PwC, Tata Consultancy Services (TCS), and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice.
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
Don’t get me wrong – several aspects of life are much easier now thanks to the existence of the internet and digital technologies. People can jump between mobile, tablet, and desktop to search for vital information. They can read blogs, listen to podcasts, stream their favorite TV shows and keep in touch with people they careabout via social media.
And it lets people shop, anytime and anywhere.
The myriad of options available to today’s consumers allows them to visit the websites of numerous vendors and explore countless products. This is where things begin to get complicated - for shoppers and businesses:
While it’s true to say that humans like choice, its omnipresence is quickly turning into noise. Without appropriate assistance and guidance, consumers are feeling overwhelmed, anxious and unable to make confident decisions.
And, overwhelmed and indecisive customers rarely buy.
Retailers, along with many other vertical industries, seek to take advantage of the benefits of the Internet of Things (IoT) to improve customer experience management. However, quickly analyzing relevant data to inform decision-making and respond e?ectively to rapidly changing customer behaviors is challenging. The CEMOSoft* platform is designed to create opportunities, while addressing shifting demographics and an evolving IoT landscape. It o?ers a mobile customer engagement experience that can be dynamically modified on the ?y, along with the increased security and intelligence of an Intel® architecture based IoT gateway and Windows® 10 IoT Core. The result is an a?ordable, ?exible, scalable platform that brings ongoing customer insight to many aspects of daily operations