cognitive computing

Results 1 - 25 of 42Sort Results By: Published Date | Title | Company Name
Published By: Cisco     Published Date: Sep 27, 2018
As the world of traditional manufacturing fuses with information technology, organizations are tapping into a level of technical orchestration never attainable before. Symphonies of systems facilitate real - time interactions of people, machines, assets, systems, and things. This is the Smart Factory; the factory ecosystem of the future. It is an application of the Industrial Internet of Things (IIoT) built with sets of hardware and software that collectively enable processes to govern themselves through machine learning and cognitive computing
Tags : 
    
Cisco
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
Tags : 
    
Oracle
Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
Tags : 
ibm, tss, cloud, mobile, appliances
    
IBM APAC
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
Tags : 
    
Avanade  DACH
Published By: Avanade DACH     Published Date: Aug 01, 2018
Je besser die Daten, desto besser die Künstliche Intelligenz Sie möchten Ihre Kunden und deren Verhalten besser verstehen? Ihnen eine maßgeschneiderte Customer Experience bieten? Oder neue Geschäftsfelder identifizieren? Es ist vielleicht nicht immer offensichtlich: Aber die Grundlage jeder gut funktionierenden KI sind Daten. In unserem Leitfaden zeigen wir Ihnen in sechs Schritten, wie Sie Ihre Daten auf innovative Weise organisieren. So schaffen Sie eine optimale Grundlage, um künftig das Beste aus künstlicher Intelligenz, Cognitive Computing und maschinellem Lernen herausholen zu können.
Tags : 
    
Avanade  DACH
Published By: IBM Watson Health     Published Date: Oct 27, 2017
With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.
Tags : 
cognitive computing, data, insights, health outcomes, healthcare delivery, healthcare costs, care, healthy choices, engagement
    
IBM Watson Health
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
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. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : 
database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
Tags : 
ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
    
IBM
Published By: IBM     Published Date: Oct 28, 2016
What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses? This is referred to as cognitive computing and is key to providing an analytics system that is easy to use but extremely powerful. Listen to this webinar, led by Jackie Ryan, the Director of Product Management for IBM's Smarter Workforce Portfolio, and learn about: The evolution of cognitive computing How cognitive computing transforms HR How to get started with cognitive talent analytics
Tags : 
ibm, kenexa, talent insights, talent analytics, knowledge management, enterprise applications, human resource technology, business technology
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
Tags : 
    
Oracle
Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
Tags : 
ibm, analytics, fraud analytics, insurance, fraud
    
IBM
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, cognitive computing, analytics, engagement
    
IBM
Published By: IBM     Published Date: Feb 01, 2017
Reliable Transportation For Dummies shows you what it takes to keep a fleet operating efficiently. Learn how to achieve higher service levels at lower cost using proven asset management processes, Internet of Things data and new cognitive computing capabilities.
Tags : 
ibm, watson, iot, internet of things, transportation, data, cognitive computing, business technology, data center
    
IBM
Published By: IBM     Published Date: Apr 21, 2017
"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. Speakers include Liz Miller, Senior Vice President of Marketing for the CMO Council; Jody Sarno, Dedicated Client Partner, Communications Industry for IBM; Chris Crayner, Ch
Tags : 
ibm, senior marketing decision makers, audience targeting, digital experiences, branding
    
IBM
Published By: IBM     Published Date: May 22, 2018
Prepare competency frameworks to leverage AI and cognitive computing to transform your HR strategy.
Tags : 
human resources, talent management
    
IBM
Published By: Sprinklr     Published Date: Oct 18, 2017
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.
Tags : 
cognitive manufacturing, electronics, computing, organizational maturity
    
Sprinklr
Published By: IBM Watson Health     Published Date: Nov 20, 2017
Strong patient engagement leads to improved population health, a better experience of care, and lower healthcare costs. Even so, few healthcare organizations have a well-defined patient engagement strategy, according to research by IBM Watson Health. Read this whitepaper and learn why healthcare organizations should create a comprehensive patient engagement strategy, what each component of such a strategy entails and how to take the steps required to build an effective patient engagement program. From patient portals, telemedicine, and mobile health, to data sharing, automation tools and cognitive computing, you’ll gain the ability to leverage valuable tools for increasing patients’ involvement in their own health outcomes.
Tags : 
patient outreach, patient relationship management, patient experience, population health management, cognitive computing, data, data sharing, healthcare costs, care, patient engagement, patient engagement strategy, patient portals, mobile health, telemedicine, automation tools, health outcomes
    
IBM Watson Health
Published By: IBM     Published Date: Jan 06, 2016
Analytics has permeated, virtually, every department within an organization.
Tags : 
ibm, analytics, talent, cognitive computing, human resources, human resource technology, business technology
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, kenexa talent insights, workforce science, talent insights, human resource technology
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology, human resource technology
    
IBM
Published By: IBM     Published Date: May 31, 2017
What defines cognitive manufacturing maturity? Our study found three stages of cognitive manufacturing maturity. We call those organizations in the earliest stage Observers, followed by Starters and Actives, respectively. These groups differ on two key characteristics: the presence of an overall strategy for cognitive manufacturing, and degree of strategic execution of multiple projects that enable higher project success and significantly fewer failed projects. Strategy is the crucial enabler of higher maturity. 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.
Tags : 
cognitive manufacturing, cognitive computing, organizational maturity, electronics, ibv
    
IBM
Published By: IBM     Published Date: Jul 13, 2017
IBM has a unique position in the marketplace, with cognitive platforms and services, industry-specific offerings and expert consulting to support electronics companies. To understand how the electronics industry is applying cognitive computing to manufacturing, the IBM Institute for Business Value surveyed 140 electronics executives around the world and across all industry subsectors. We found that a core group of early adopters has kicked off a new generation of production success with cognitive manufacturing and show greater returns on investment (ROI) with increased productivity. Our analysis answers some important questions.
Tags : 
ibm, consulting, cognitive, electronic manufacturing, roi, increased productivity, cognitive manufacturing
    
IBM
Published By: IBM     Published Date: Oct 18, 2017
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.
Tags : 
cognitive manufacturing, ibm, electronics, organizational maturity
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 20, 2017
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.
Tags : 
cognitive manufacuring, electronics manufacturing, production transformation, automation systems, manufacturing
    
Group M_IBM Q1'18
Previous   1 2    Next    
Search Research Library      

Add Research

Get your company's research in the hands of targeted business professionals.

“I am the Inspector Morse of IT journalism. I haven't a clue. D'oh” - Mike Magee