O slideshow foi denunciado.
Seu SlideShare está sendo baixado. ×

Cognitive Computing : Trends to Watch in 2016

Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Carregando em…3
×

Confira estes a seguir

1 de 20 Anúncio

Cognitive Computing : Trends to Watch in 2016

Baixar para ler offline

Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders
Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.

Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders
Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.

Anúncio
Anúncio

Mais Conteúdo rRelacionado

Diapositivos para si (20)

Semelhante a Cognitive Computing : Trends to Watch in 2016 (20)

Anúncio

Mais de Bill Chamberlin (10)

Mais recentes (20)

Anúncio

Cognitive Computing : Trends to Watch in 2016

  1. 1. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive Computing Increased activity from early adopters, startups, and vendors IBM HorizonWatch 2016 Trend Report – External Version Honor Sherlock, Senior Advisor, IBM Watson, Market Development Bill Chamberlin, bluemine Product Manager, HorizonWatch March 4, 2016
  2. 2. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. About This Trend Report 2 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders  Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.  How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links  Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching  Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
  3. 3. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Welcome to the Cognitive Era and the rise of Cognitive Business 3 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) IBM: Welcome to the Cognitive EraWe are entering a new era of computing called cognitive computing. It signifies a fundamental shift in how machines interact with us, other machines and the environment. It will provide much value, but it will be highly disruptive. The Cognitive Era will result in entirely new model of computing that includes a range of technology innovations in analytics, natural language processing and machine learning “Over time, it will be possible to build cognitive technologies into many of the IT solutions and human-designed systems on earth, imbuing them with a kind of “thinking” ability. These new capabilities will enable people and organizations to accomplish things they couldn’t before– understanding more deeply how the world works, predicting the consequences of actions, and making better decisions.” IBM IBM: The Rise of Cognitive Business
  4. 4. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. The Cognitive Era is not prediction of a future time period, it has already begun 4 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Frost & Sullivan: Future Applications of Cognitive Intelligence “The numbers in the new AI field are staggering: more than 2,300 startups (a comprehensive list can be found here) have been founded; venture capitalists are investing billions of dollars.” Forrester “Smart machines are not future fantasy; they are commercially available. According to Gartner’s analysis of external sources, more than $10 billion have already been purchased through more than 2,500 technology companies.” Gartner “IDC expects the overall market to grow significantly in the 2015–2019 forecast period, at a CAGR of approaching 35%.” IDC
  5. 5. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive Computing – Trend Overview 5 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Drivers  Advances in enabling technology areas  Increasingly large complex datasets that can be the source of major insights and hold the answers to critical questions  Third computing platform – Cloud, Mobile, Big Data, Analytics, Social  Data economy Challenges  Much more work on enabling technologies required  Impact on business applications and processes not yet fully understood  Education / Concerns about impact on jobs  Window of Opportunity: Partnerships / Ecosystems Implications  This is a technology that learns. Accuracy will increase over time.  First movers will have an advantage.  Cognitive systems and services will be available via cloud delivered services and therefore, cognitive capability will be delivered via any mobile device  It is technology directed at helping individuals, not departments. Thus expect a mass market to develop around consumers.  Business processes and whole industries will be transformed.  Changes will be required in employee workforce, corporate culture, and partner ecosystems.  New IT architectures, systems design, data management/analytics and workload optimized systems.  Scenario planning needed to understand long term implications for mass displacement of white collar knowledge workers. “Artificial Intelligence could automate close to 50% of jobs in the Western world within the next two decades.” Frost & Sullivan “By 2018, 40 percent of outsourced services will leverage smart machine technologies, rendering the offshore model obsolete for competitive advantage.” Gartner “By 2018 half of all consumers will interact with services based on cognitive computing on a regular basis.” IDC IBM: The Future of Cognitive Computing (video)
  6. 6. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. In 2016, cognitive platform providers will target the developer community with an increasing volume of APIs to build scale.  Cognitive platform providers target the developer community. To jump-start cognitive computing monetization, leading cognitive technology providers will make their assets available to developers as APIs, with the goal of seeding creation of “killer apps” that rely on cognitive-enabled backbones. – Cognitive development platforms: Developers will look for cognitive computing vendors that can provide powerful and simple development tools & platforms – APIs: Developers want access to new APIs designed to help accelerate innovation and the commercialization of cognitive technologies.  Integrating Cognitive systems with cloud, mobile, and IoT systems. Look for development platforms and offerings that integrate cognitive computing capabilities with other offerings. IBM’s launch of an integrated Watson IoT unit will prompt other competitors to undertake similar initiatives in 2016, focusing on launching solutions, tools and assets that capitalize on the intersection of cognitive computing and other disruptive technologies such as IoT, digital and cloud. 6 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., IBM DeveloperWorks Cognitive Computing “By 2018, over 50% of developer teams will embed cognitive services in their apps (vs. 1% today), providing U.S. enterprises $60+ billion annual savings by 2020.” IDC “By 2018, 20 percent of business content will be authored by machines.” Gartner “In order to manage and make sense of the data that connected assets generate, cognitive systems and machine learning will play a fundamental role for the evolution of IoT.” Forrester
  7. 7. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. In 2016, leading enterprises will aggressively build strategies to adopt cognitive solutions • Early use cases: Cognitive has the ability to break down complex, disparate data environments and answer strategic questions • Professional Services. Enterprises will require consulting and implementation support to develop cognitive road maps and integrate complex data & analytics architectures. As a result, services will compose the majority of spending through 2020. • Third platform integration unlocks value: Cognitive computing is optimized on a secure cloud-based and mobile- enabled business platform, with an Internet of Things (IoT) driven big data backbone for data capture, storage and analysis. • Data economy: Leading enterprises will focus on acquiring and harvesting proprietary data feeds to train cognitive systems.  Embedding cognitive technologies: Enterprises explore embedding the technology into existing products, solutions and services.  Customer experience as a use case. Customers continue to demand more personalized, contextually relevant experiences. Organizations will evaluate cognitive computing as a way to optimize the customer experience. 7 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., Indicators of 2016 Cognitive Computing Adoption 1. Increasing cognitive computing participation by technology vendors 2. Expanding volume of cognitive computing case studies 3. Advances in cognitive development tools and applications 4. Expansion of cognitive computing API ecosystems 5. Emergence of cognitive professionals and supporting professional communities TBR “Smart machines deliver substantial first-mover advantage and we recommend early action.” Gartner
  8. 8. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. R&D advancements will continue in areas such as machine learning. NLP, pattern recognition, reasoning and scheduling  Advancements in machine learning feed off access to IoT-generated data. As the IoT generates more real-time, machine learning algorithms will use that data for planning, forecasting and making critical business decisions.  Natural language processing (NLP) sweet spot is customer service. Enterprises use NLP-based solutions to handle customer service inquiries without human interaction, improving overall efficiencies and costs.  Rich media & IoT analytics fuel pattern recognition advancements. Combining historical and traditional data with real time rich media & IoT unstructured data will reveal new patterns in data that can inform future decision processes.  Knowledge representation and reasoning efforts focus on supporting decision making. Look for efforts to build large-scale knowledge databases that cognitive systems can use to drive unbiased support for subject-matter experts.  IoT data leads to smarter scheduling and planning. Real time data from IoT sensors assists cognitive systems with the job of advanced scheduling and planning applications. Example: Leveraging weather data to help optimize transportation and supply chain logistics. 8 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., “Through 2020, the smart machine era will blossom with a proliferation of contextually aware, intelligent personal assistants, smart advisors (such as IBM Watson), advanced global industrial systems and public availability of early examples of autonomous vehicles.” Gartner IBM Research “Technology companies and researchers across the world have now set an ambitious goal of developing Artificial Intelligence solutions that are not just intelligent in terms of decisions taken, but can also learn from data - like humans do.” Frost & Sullivan
  9. 9. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive computing offers predictive and personalized capabilities to address business outcomes across core verticals  Healthcare: The healthcare industry, driven by a push for improved management, coordination and delivery of patient- centric outcomes, offers continuous opportunities for cognitive computing. Cognitive computing can analyze gigabytes of medical information to formalize a specific treatment plan for each patient.  Banking and financial services: Cognitive computing allows banking, financial services and insurance companies to analyze gigabytes of data and recognize risks that were previously ignored due to a lack of available analytics tools and platforms.  Energy & Utilities: Cognitive computing solutions can support multiple use cases in energy and utilities. For example, cognitive computing can analyze information from sensor networks, local weather stations, sky cameras and satellites to more accurately predict weather patterns, enabling utilities to more efficiently use their energy reserves.  Manufacturing: Manufacturers will be able to adapt their production cycles to more closely align to customers’ needs, patterns and behaviors. By analyzing production changes through cognitive computing, manufacturers can alter production output and create a more homogeneous supply chain. 9 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., “To improve efficiency and optimize business outcomes, government agencies are experimenting with smart machine technologies, such as virtual assistants, to deliver frontline services,.” Gartner KMWorld: Cognitive Computing: Real-world applications for an emerging technology “Watson’s potential lies in its ability to understand, reason and learn. Companies will use this cognitive ability to build real value when they can predict outcomes and take actions to change them.” Gartner
  10. 10. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Challenges: the relative nascence of cognitive computing demands ROI proof points and careful selection of appropriate use cases  Safeguards needed against data overreach and abuse. Cognitive systems will rely heavily on data derived from multiple systems and sources. As such, it is important to ensure data is consolidated and sourced in a consistent, secure manner.  Where is the business value and ROI? Given its nascence in the enterprise, limited case studies exist for cognitive computing, creating potential hurdles to large-scale investment.  Lack of industry definitions and standards. Similar to other emerging areas, the lack of industry standards and definitions around cognitive computing may create hesitation in adoption, particularly in heavily regulated industries and the public sector.  Limitations of current technology. While there are important reasons to move forward with cognitive technology, firms must consider the constraints of existing platforms relative to their ultimate goals. . 10 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., “Based on lessons learned from subject matter experts (SMEs) who have led early cognitive computing solution implementations, we have identified three keys to a successful implementation, as well as four recommended steps for kick- starting and accelerating your organization’s cognitive journey.” IBM: Your Cognitive Future “By 2018, 45 percent of the fastest-growing companies will have fewer employees than instances of smart machines.” Gartner “The smart machine era will be the most disruptive in the history of IT.” Gartner
  11. 11. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Activity in the cognitive computing vendor ecosystem is expected to heat up in 2016  Ecosystem activity builds: In 2016, the vendor ecosystem become even more active. Startups continue to enter the fray and existing players will aggressively build cognitive expertise and assets through selective hiring and targeted acquisitions.  Targeting developers: To accelerate innovation and monetize assets, platform players will increasingly target development communities.  New APIs and development platforms: Vendors focus on accelerating innovation and the commercialization of cognitive technologies.  Acquisitions accelerate. Market players aim to augment embedded cognitive capabilities as well as roll out new cognitive-centric solutions by acquiring niche- focused cognitive startups.  Intersection of Cognitive Computing with IoT, Cloud, and Digital. Vendors focus on launching solutions, tools and assets that capitalize on the intersection of cognitive computing and other disruptive technologies such as IoT, digital and cloud. 11 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Source: MD&I HorizonWatch / TBR Inc., IBM “Unstructured and semistructured data is fueling a renaissance in the handling and analysis of information, resulting in a new generation of tools and capabilities that promise to offer intelligent assistance, advice, and recommendations to consumers and knowledge workers around the world” IDC
  12. 12. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. APPENDIX Cognitive Computing Resources 12 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)
  13. 13. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected public-facing analyst websites and resources 13 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  Forrester: Artificial Intelligence (blogs) and Cognitive Computing (search)  Frost & Sullivan: Artificial Intelligence (search)  Artificial Intelligence -- Emerging Trends and Applications (Technical Insights)  Gartner: Smart Machines (search) and Machine Learning  IDC: Intelligent Systems (search) and Machine Learning and Cognitive Computing  MarketsandMarkets: Cognitive Computing  Ovum: Cognitive Computing (search) and Artificial Intelligence “The main driver for global cognitive computing market is increasing trend of large and complex data-set. This complex data is available in various form such images, video, and natural language. These data-sets cannot be processed with help of existing big data analytics systems, hence business organizations are turning their heads towards the cognitive computing.” MarketsandMarkets “Smart machines are no longer science-fiction; they are here, being used by businesses right now and only growing in capabilities. The disruption they will cause over the next decade will leave no industry untouched.” Gartner
  14. 14. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected technology vendor & consultant websites 14 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  Accenture: Artificial Intelligence coming of age  Alibaba: DT PAI  Amazon: Mechanical Turk  Apple Siri  Deloitte: Deloitte University Press  Google: Google Now / Artificial Intelligence and Machine Learning / Machine Intelligence / Natural Language Processing / Human-Computer Interaction and Visualization  IBM Research: Cognitive Computing  IBM Watson  Microsoft: Machine Learning / Artificial Intelligence / Machine Learning, Natural Language Systems and Applications / Deep Learning Technology Center / Top Authors in Artificial Intelligence  Oracle: Advanced Analytics  SAS: Machine Learning  Wipro: HOLMES IBM Research: Cognitive Computing “Cognitive technologies are delivering measurable value to enterprises across multiple industries. Now is the time to engage these technologies and to frame how best your organization will capture the value these technologies are creating.” Deloitte
  15. 15. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected media websites 15 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  CIO.com Artificial Intelligence (search) / IBM Watson (search)  ComputerWorld Artificial Intelligence (search) / IBM Watson (search)  DataVersity Cognitive Computing  eWeek Cognitive Computing (search) / Artificial Intelligence (search)  Forbes Cognitive Computing (search) / Artificial Intelligence (search)  GIGAOM Artificial Intelligence (search  HBR.org Cognitive Computing (search) / Artificial Intelligence (search)  InformationWeek Cognitive Computing (search) / Artificial Intelligence (search)  InfoWorld Cognitive Computing (search) / Artificial Intelligence (search):  Wired Artificial Intelligence (search) / IBM Watson (search) “Artificial intelligence suffered a long winter, but a new name -- cognitive computing -- and a flood of data, innovation, and compute power now has thousands smart applications flourishing.” Infoworld: It's springtime at last for cognitive computing “The opportunities for cognitive computing are compelling. Organizations that move forward with this innovative capability will have the opportunity to push new boundaries for growth and gain advantage over their competition..” Forbes: Four Steps To Get Started With Cognitive Computing
  16. 16. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected IBM websites 16 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  Watson Internet of Things  IBM Watson  What is Watson?  Watson Developer Cloud  Watson Engagement Advisor  Watson Explorer  Watson Discovery Advisor  Watson for Oncology  Watson for Clinical Trial Matching  Watson Knowledge Studio  Watson Ecosystem  Watson University  Watson in Healthcare  Watson Blog  IBM Research: Cognitive Computing / DeepQA White paper: Computing, cognition and the future of knowing • Watch: November 2015 Cognitive Colloquium at Rensselaer Polytechnic Institute • Watch: October 2015 Cognitive Colloquium at University of California-San Francisco IBM DeveloperWorks Cognitive Computing
  17. 17. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected IBM social media resources 17 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  Twitter: @ibmwatson (99.4k followers) Hashtags #ibmwatson  Linkedin: Watson Advocates  Facebook: IBM Watson (72k likes)  YouTube: IBMWatsonSolutions  Watson in Healthcare  Watson Ecosystem Partners  What is the Watson Ecosystem?  What Does Watson Do?  Pinterest: Watson  Slideshare.net search for IBM Watson  Blogs  Watson Blog  Building a Smarter Planet  Dharmendra S Modha's Cognitive Computing Blog Twitter: @ibmwatson Blog: Watson Blog
  18. 18. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected links to additional articles and resources  About Tech: 5 Applications of Natural Language Processing Technology  Accenture: Turning cognitive computing into business value and AI coming of age— disruption, transformation straight ahead  Bloomberg Business: Why 2015 Was a Breakthrough Year in Artificial Intelligence  CognitiveScale: CS & Deloitte Join Forces to Drive Consumer Centric Healthcare  Deloitte: Demystifying artificial intelligence and Transforming business with technology  Enterra Solutions: Making Sense of Cognitive Computing  InformationAge: Man and machine: Cognitive computing in the enterprise  KnowledgeAnywhere: Cognitive Computing & Corporate Learning?  KM World: Cognitive Computing: Real-world applications  Microsoft Azure: Introduction to machine learning on Microsoft Azure and Announcing Cortana Analytics Suite and New Partner Investments  PR Newswire: Cognitive Computing - $13.7 Billion Globally, by 2020  PC World: IBM, Deloitte bring big data to risk management  TechEmergence: 3 Machine Learning Trends That Are Transforming Industries  Thoughts On Cloud: APIs: Building blocks for creating a cognitive business strategy  ZD Net: ​Facebook open sources AI tools, possibly turbo charges deep learning 18 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version) Prepared by: TBR, Inc
  19. 19. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Some related definitions found on Wikipedia 19 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)  “A cognitive computer combines artificial intelligence and machine-learning algorithms, in an approach which attempts to reproduce the behavior of the human brain.” Wikipedia  “Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. .” Wikipedia  “Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.” Wikipedia  “In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational).” Wikipedia  “Human–computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers.” Wikipedia  “Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages.” Wikipedia  “Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high- level abstractions in data by using multiple processing layers with complex structures, or otherwise composed of multiple non-linear transformations.” Wikipedia  “Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning.” Wikipedia
  20. 20. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. More Insights on Technology Trends are Available 20 Other slide decks in this IBM HorizonWatch 2016 Trend Report series have been posted to Slideshare You are also invited to check out the following IBM websites and resources – IBM Academy of Technology – IBM Center for Applied Insights – IBM Institute for Business Value – IBM Research and Research News and 5 in 5 – IBM’s THINK blog 04March2016 HorizonWatch Trend Report: Cognitive Computing (External Version)

×