How do manufacturers get beyond the obstacles and barriers to increase cognitive
manufacturing maturity? The obstacles encountered by our respondents are tied to
organizational maturity. Overcoming them is fundamental to increase cognitive
manufacturing success.
In this report, we’ll first describe cognitive computing and how it gives rise to cognitive
manufacturing. Then, we’ll review specific study findings and recommend actions for
electronics executives.
Hyper-complex production meets cognitive computing. Electronics manufacturing is surrounded by continuous complexity. Executives face rising resource costs in traditionally low-cost production markets. They must address increasing customization, shorter lead times, frequently changing requirements and shrinking order sizes – all while managing a sophisticated supply network. They need to examine automation potential and maintain critical institutional knowledge. Thinner margins and increased competition threaten consistent quality, risk greater downtime and reduce desired flexibility. Investments in new equipment and automation systems are increasing the amount of data available from the shop floor, but most is not used to its full potential. Now, cognitive manufacturing is transforming production to address such complexity.
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
This brochure displays how Watson Engagement Advisor is transforming the way people and organizations interact with the latest evolution of self-service.
Begin your journey toward becoming a cognitive enterprise and start gaining unprecedented value from your own data. Watson Explorer reduces unnecessary research time and allows enterprises to work smarter and faster. Read this brochure to learn how Watson Explorer combines content and data with cognitive computing capabilities to help your organization work more efficiently and make better decisions.
Modern organizations often have huge stores of data, which can make it difficult for employees to find the information they need when they need it. In response, innovative enterprises are creating unified information applications based on cognitive computing technology in order to put invaluable information at workers' fingertips.
Modern organizations often have huge stores of data, which can make it difficult for employees to find the information they need when they need it. In response, innovative enterprises are creating unified information applications based on cognitive computing technology in order to put invaluable information at workers' fingertips.
Modern organizations often have huge stores of data, which can make it difficult for employees to find the information they need when they need it. In response, innovative enterprises are creating unified information applications based on cognitive computing technology in order to put invaluable information at workers' fingertips.
Learn about the importance of cognitive data to workflows and BPM, how cognitive business operations improve engagements with customers and partners, and how Watson APIs bring insight and learning to BPM.
In this 3-part video series, Jim Casey, senior offering manager for IBM Smarter Process gives insight into how the BPM discipline is evolving in the face of cognitive computing.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online.
Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up?
As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
Download this white paper to learn:
- How you can scale the expertise of your best agent using cognitive technology
- The 5-step process behind how Watson Engagement Advisor works
- What you can do to improve customer engagement
When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer.
The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement.
Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
