Three key points:
1. There are three emerging capability areas for cognitive computing: engagement, decision making, and discovery. Engagement systems change human-computer interaction, decision systems make evidence-based decisions, and discovery systems find new insights.
2. Case studies show how cognitive computing is being used by organizations like USAA, WellPoint, and Baylor College of Medicine to improve customer service, clinical decision making, and medical research.
3. The future evolution of cognitive computing will be influenced by six forces: technology advances, societal acceptance, information growth, perceptions, skills availability, and policies. Balancing these forces will impact adoption rates.
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”diannepatricia
Cristina Mele, Full Professor of Management at the University of Napoli “Federico II”, presentation as part of Cognitive Systems Institute Speaker Series
What are Cognitive Applications? What is exciting about them? They represent a whole new way of human computer interaction and acting on data insights. Introducing IBM Watson and how to develop Cognitive applications. AI, Machine Learning compared and contrasted.
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. See the presentation by Beth Smith for steps to becoming a cognitive business!
Presented this at Mobility LIVE! in Atlanta on Sep'24th 2014 on the topic "Cognitive Internet of Things (IoT) : Making Devices Intelligent" which was under the theme OVER THE HORIZON. The theme of the session was to present a view point on how IoT apps / solutions can harness cognitive computing services & capabilities from IBM Watson and hence become intelligent.
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”diannepatricia
Cristina Mele, Full Professor of Management at the University of Napoli “Federico II”, presentation as part of Cognitive Systems Institute Speaker Series
What are Cognitive Applications? What is exciting about them? They represent a whole new way of human computer interaction and acting on data insights. Introducing IBM Watson and how to develop Cognitive applications. AI, Machine Learning compared and contrasted.
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. See the presentation by Beth Smith for steps to becoming a cognitive business!
Presented this at Mobility LIVE! in Atlanta on Sep'24th 2014 on the topic "Cognitive Internet of Things (IoT) : Making Devices Intelligent" which was under the theme OVER THE HORIZON. The theme of the session was to present a view point on how IoT apps / solutions can harness cognitive computing services & capabilities from IBM Watson and hence become intelligent.
Michael Rosinski, President and Chief Executive Officer of Astoria Software, discusses innovation, computing, and how content—and those who produce it—will be impacted by artificial intelligence.
Ai - Artificial Intelligence predictions-2018-report - PWCRick Bouter
Here’s some actionable advice on artificial intelligence (AI), that you can
use today: If someone says they know exactly what AI will look like and
do in 10 years, smile politely, then change the subject or walk away.
Concept computing is the next paradigm for Internet and enterprise software. Concept computing is a:
-- Paradigm shift from information-centric to knowledge-driven patterns of computing.
-- Spectrum of knowledge representation, from search to knowing.
-- Synthesis of AI, semantic, model-driven, mobile, and User interface technologies.
-- Solution Architecture where every aspect of computing is semantic and directly model-driven.
-- Development methodology where Every stage of the solution lifecycle becomes semantic, model-driven & super-productive.
-- New domain where value multiplies.
T-Shaped: The New Breed of IT ProfessionalHaluk Demirkan
T-shaped development is especially important for IT professionals in a converging world because:
- The accelerating rate at which new IT knowledge is being created means that IT professionals must be more adaptive, with “boundary-spanning” abilities.
- The nature of IT project work today often requires IT professionals to work on multidisciplinary, multisector, and multicultural teams.
- The changing role of IT in the enterprise will require IT professionals with business and organizational knowledge in addition to technology expertise.
- Increasingly, IT innovation means providing an expanded role for customers and partners to co-create value on platforms, so Open Services Innovation initiatives are on the rise.
Cognitive Business: Where digital business meets digital intelligenceIBM Watson
Ravesh Lala, Vice President, IBM Watson Solutions provided a high level overview of IBM Watson on Monday August 22, 2016 at the Electronics event in NY. Ravesh shared insights into what Watson is, and how organizations have leveraged the power of Watson to advance their place in the market.
IBM Watson Ecosystem roadshow - Chicago 4-2-14cheribergeron
IBM Watson is powering a new generation of cognitive applications. Learn how IBM is partnering with visionaries and entrepreneurs to bring innovative cognitive applications to market through the IBM Watson Ecosystem.
IBM Watson Question-Answering System and Cognitive ComputingRakuten Group, Inc.
IBM's vision of cognitive computing has been steadily embraced across the industries since IBM's Watson question-answering system made a sensational debut at the US Jeopardy! television quiz show in 2011. As a core member of the Watson project, I would like to share the excitement of the project and the last five and a half year of its progress into the cognitive business. In this talk, I will also give a technical overview of Watson, major use cases, and perspectives on the future of cognitive computing.
https://tech.rakuten.co.jp/
Next generation semantic technologies help individuals and businesses develop semantic superpowers. That is how we break the chains of legacy systems, free resources from maintenance, and innovate the new capabilities we need to thrive in the next Internet. Learn what semantic superpowers can do for you.
The role we play as creators - A designer's take on AIGiuseppe de Cesare
There is a growing interest in AI, but the field is understood only by a few, often by technicians. What’s our involvement as designers? What do we know about these new disruptive technologies? Often we know little. This talk will unveil benefits and pitfalls of AI through concrete cases offering designers a framework for understanding. It will introduce a toolkit of ethical principles, that will make you reflect upon the potential of AI to change what is our conventional understanding of a product or a service. Design is about developing a higher awareness of the role we play as creators and builders.
INSIDER'S PERSPECTIVE: Three Trends That Will Define the Next Horizon in Lega...LexisNexis
In a recent Information Today article, Sean Fitzpatrick of LexisNexis discusses trends that will define the future of legal research as we know it.
Humans create 2.5 quintillion bytes of data each day, and the cost of storing and maintaining each byte of data is declining. In fact, the growth of stored data is outpacing the ability of most people to manage it.
Powerful tools, such as natural language processing and machine learning, are helping professionals bridge the gap between information overload and the ability to harvest the power of Big Data.
Millennials now make up nearly one-third of the U.S. workforce and they are our most educated generation.
Enterprise Mobile and Client Management Demands a Rethinking of Work, Play an...Dana Gardner
Transcript of a Briefings Direct podcast on the new landscape sculpted by the increasing use of mobile and BYOD and how Dell is helping companies navigate that terrain.
Michael Rosinski, President and Chief Executive Officer of Astoria Software, discusses innovation, computing, and how content—and those who produce it—will be impacted by artificial intelligence.
Ai - Artificial Intelligence predictions-2018-report - PWCRick Bouter
Here’s some actionable advice on artificial intelligence (AI), that you can
use today: If someone says they know exactly what AI will look like and
do in 10 years, smile politely, then change the subject or walk away.
Concept computing is the next paradigm for Internet and enterprise software. Concept computing is a:
-- Paradigm shift from information-centric to knowledge-driven patterns of computing.
-- Spectrum of knowledge representation, from search to knowing.
-- Synthesis of AI, semantic, model-driven, mobile, and User interface technologies.
-- Solution Architecture where every aspect of computing is semantic and directly model-driven.
-- Development methodology where Every stage of the solution lifecycle becomes semantic, model-driven & super-productive.
-- New domain where value multiplies.
T-Shaped: The New Breed of IT ProfessionalHaluk Demirkan
T-shaped development is especially important for IT professionals in a converging world because:
- The accelerating rate at which new IT knowledge is being created means that IT professionals must be more adaptive, with “boundary-spanning” abilities.
- The nature of IT project work today often requires IT professionals to work on multidisciplinary, multisector, and multicultural teams.
- The changing role of IT in the enterprise will require IT professionals with business and organizational knowledge in addition to technology expertise.
- Increasingly, IT innovation means providing an expanded role for customers and partners to co-create value on platforms, so Open Services Innovation initiatives are on the rise.
Cognitive Business: Where digital business meets digital intelligenceIBM Watson
Ravesh Lala, Vice President, IBM Watson Solutions provided a high level overview of IBM Watson on Monday August 22, 2016 at the Electronics event in NY. Ravesh shared insights into what Watson is, and how organizations have leveraged the power of Watson to advance their place in the market.
IBM Watson Ecosystem roadshow - Chicago 4-2-14cheribergeron
IBM Watson is powering a new generation of cognitive applications. Learn how IBM is partnering with visionaries and entrepreneurs to bring innovative cognitive applications to market through the IBM Watson Ecosystem.
IBM Watson Question-Answering System and Cognitive ComputingRakuten Group, Inc.
IBM's vision of cognitive computing has been steadily embraced across the industries since IBM's Watson question-answering system made a sensational debut at the US Jeopardy! television quiz show in 2011. As a core member of the Watson project, I would like to share the excitement of the project and the last five and a half year of its progress into the cognitive business. In this talk, I will also give a technical overview of Watson, major use cases, and perspectives on the future of cognitive computing.
https://tech.rakuten.co.jp/
Next generation semantic technologies help individuals and businesses develop semantic superpowers. That is how we break the chains of legacy systems, free resources from maintenance, and innovate the new capabilities we need to thrive in the next Internet. Learn what semantic superpowers can do for you.
The role we play as creators - A designer's take on AIGiuseppe de Cesare
There is a growing interest in AI, but the field is understood only by a few, often by technicians. What’s our involvement as designers? What do we know about these new disruptive technologies? Often we know little. This talk will unveil benefits and pitfalls of AI through concrete cases offering designers a framework for understanding. It will introduce a toolkit of ethical principles, that will make you reflect upon the potential of AI to change what is our conventional understanding of a product or a service. Design is about developing a higher awareness of the role we play as creators and builders.
INSIDER'S PERSPECTIVE: Three Trends That Will Define the Next Horizon in Lega...LexisNexis
In a recent Information Today article, Sean Fitzpatrick of LexisNexis discusses trends that will define the future of legal research as we know it.
Humans create 2.5 quintillion bytes of data each day, and the cost of storing and maintaining each byte of data is declining. In fact, the growth of stored data is outpacing the ability of most people to manage it.
Powerful tools, such as natural language processing and machine learning, are helping professionals bridge the gap between information overload and the ability to harvest the power of Big Data.
Millennials now make up nearly one-third of the U.S. workforce and they are our most educated generation.
Enterprise Mobile and Client Management Demands a Rethinking of Work, Play an...Dana Gardner
Transcript of a Briefings Direct podcast on the new landscape sculpted by the increasing use of mobile and BYOD and how Dell is helping companies navigate that terrain.
Hội thảo công cộng lần 13; Ngày 7-1-2016 Tường thuật & hình ảnh sản xuấ...Truong Duc
Buổi hội thảo hướng dẫn các bạn làm thiết bị năng lượng Magrav 3 tầng. Video do các anh chị bên xưởng sản xuất ở Đức làm và ghi lại cho mọi người xem. Trong buổi hội thảo còn có thêm hướng dẫn của các anh chị Việt kiều. Mong các bạn ủng hộ.
Perhaps you have experienced facing a problem which seemed to have no solution at all. How did you resolve the problem? Did someone give you a helpful advice? Read "From The Analects" by Confucius, as translated by Arthur Waley for you to find out how these questions are to be answered.
The Web and the Collective Intelligence - How to use Collective Intelligence ...Hélio Teixeira
The Web and the Collective intelligence - How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
How artificial intelligence will change the future of marketing_.pdfOnlinegoalandstrategy
Artificial intelligence (AI) is a broad field of computer science concerned with creating intelligent machines capable of doing activities that normally require human intelligence. In its most basic form, artificial intelligence is a field that combines computer science and large datasets to solve problems. It also includes the subfields of machine learning and deep learning, which are commonly referenced in the context of artificial intelligence. AI algorithms are used in these areas to develop expert systems that make predictions or classifications based on input data.
With AI-powered tools, marketing teams will be able to automate certain cognitive tasks. They will also be able to spot current trends, as well as predict them for the future, thereby helping to ensure the success of their marketing campaigns.
One of the main ways artificial intelligence will impact marketing in the future is in content creation.
AI has given rise to a brand-new field known as content intelligence, whereby AI tools offer data-driven insights and feedback to content creators. This means that by creating a continuous feedback loop, marketers will be able to enhance their content creation efforts and yield greater success.
What is Missing? - What WAS Missing?
If the analytics tools are so good, why don't they make the decisions, control the actions and explain why and why not?
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Impact of Machine Learning Development on Future.pdfJPLoft Solutions
This article aims to dive into the fundamentals and advancements of machine learning, exploring its many applications, ethical dilemmas, and significant role in influencing our lives and how we interact using technology. Understanding how Machine Learning development affects our future is crucial for professionals and non-experts alike in the complexities of this constantly evolving field.
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...ijtsrd
Cognitive computing, a revolutionary paradigm in computing, seeks to replicate and enhance human like intelligence by amalgamating artificial intelligence, machine learning, and natural language processing. This paper provides an overview of cognitive computing, emphasizing its core principles and applications across diverse industries. Key components, including adaptability, learning, and problem solving capabilities, distinguish cognitive computing from traditional computing models. The integration of natural language processing enables more intuitive human machine interactions, contributing to applications such as virtual assistants and personalized services. The paper explores the ethical considerations inherent in cognitive computing, highlighting the importance of transparency and responsible use. With continuous evolution and ongoing research, cognitive computing is on the verge to shape the future of computing, offering new opportunities and challenges in various domains. This abstract encapsulates the transformative nature of cognitive computing and its potential impact on the technological landscape. Manish Verma "Beyond AI: The Rise of Cognitive Computing as Future of Computing: ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61292.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61292/beyond-ai-the-rise-of-cognitive-computing-as-future-of-computing-chatgpt-analysis/manish-verma
Is the next Uber coming your way?
CxOs are on high alert for competitors coming out of nowhere. Prepare for disruption – read the Global C-suite study.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital is not the destination but the foundation for a new era of business; we call it cognitive business, and IBM Watson
is the platform. Today Watson is helping doctors reimagine medicine, and leaders reshape industries as diverse
as retail, banking and travel. And Watson is taught by industry experts, so their know-how can reach more practitioners.
IBM Security Guardium Data Activity Monitor (Data Sheet-USEN)Peter Tutty
The IBM Security Guardium Data Activity Monitor data sheet describes a simple, robust solution for continuously monitoring access to high-value databases, data warehouses, file shares, document-sharing solutions and big data environments.
2015 Global Identity and Access Management (IAM) Market Leadership AwardPeter Tutty
With its strong overall performance, IBM has achieved a leadership position in the IAM market, and Frost & Sullivan is proud to bestow the 2015 Market Leadership award to IBM.
We are pleased to present the findings of The State of Mobile Application Insecurity sponsored by IBM. The purpose of this research is to understand how companies are reducing the risk of unsecured mobile apps in the workplace.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 6
Cognitive future part 1
1. Your cognitive future
How next-gen computing changes the way we live and work IBM Institute for Business Value
Part I: The evolution of cognitive
2. IBM Watson
Watson is a cognitive system that enables a new
partnership between people and computers that
enhances and scales human expertise. For more
information about IBM’s Watson, visit ibm.com/watson
IBM Strategy & Analytics
The IBM Strategy and Analytics practice integrates
management consulting expertise with the science of
analytics to enable leading organizations to succeed.
For more information about IBM Strategy & Analytics
offerings from IBM, visit ibm.com/services/us/gbs/
strategy
Executive Report
Watson and Strategy & Analytics
3. Executive summary
For decades, science fiction visionaries have shared their renditions of intelligent machines
and computers that could learn and function as humans. Intelligent machines have since
moved beyond the lore of science fiction; today, they are a reality thanks to breakthroughs in
cognitive computing. Cognitive computing is here – and this innovative capability is becoming
ubiquitous in our everyday lives and fundamentally changing how we perform our jobs,
engage and interact with others, learn and make decisions. Pioneering organizations across
industries and around the world are already leveraging its capabilities to realize significant
business value and help solve some of society’s greatest challenges.
We are entering a new era of computing. Following the programmable and tabulating systems
eras, cognitive computing represents a huge leap forward. This new era brings with it
fundamental differences in how systems are built and interact with humans.
In the programmable systems era, humans do most of the directing. Traditional
programmable systems are fed data and their results are based on processing that is pre-
programmed by humans. The cognitive era on the other hand is about thinking itself – how we
gather information, access it and make decisions. Cognitive-based systems build knowledge
and learn, understand natural language, and reason and interact more naturally with human
beings than traditional programmable systems. The term “reasoning” refers to how cognitive
systems demonstrate insights that are very similar to those of humans.
Why cognitive should be on
your radar
Organizations have just begun to scratch the surface
of cognitive computing capabilities. From improving
customer engagement to enhancing research
capabilities that identify new life-saving medical
treatments, the potential value is boundless. Through
our research, we uncover multiple innovative
opportunities across industries, creating chances for
early adopters to achieve a substantial first-mover
advantage. WinterGreen Research estimates the
global healthcare decision support market alone will
increase to more than $200 billion by 2019 as a result
of new cognitive computing technologies.1
COG · NI · TIVE / käg-nə-tiv
(adjective): of, relating to or involving conscious mental activities
(such as thinking, understanding, learning and remembering)
1
4. Cognitive systems are able to put content into context, providing confidence-weighted
responses, with supporting evidence. They are also able to quickly find the proverbial needle
in a haystack, identifying new patterns and insights. Over time, cognitive systems will simulate
even more closely how the brain actually works.2
In doing so, they could help us solve the
world’s most complex problems by penetrating the complexity of big data and exploiting the
power of natural language processing and machine learning.
While tremendous advancements have been made over the past 50 years, cognitive
computing is virtually in its infancy in terms of how this exciting technology could potentially
evolve. Adopting and integrating cognitive solutions into an organization is a journey and not a
destination. Therefore, organizations need to set realistic expectations and develop long-term
plans with incremental milestones to benefit from the technology’s future progression. Based
on experience with clients and extensive research, we have identified multiple opportunities
across industries for innovative application of cognitive computing today, as well as examined
how the technology might evolve in the future.
In this, the first in a series of reports based on the IBM Your cognitive future research study, we
explore three capability areas for cognitive computing. We also discuss how future
opportunities will be influenced by the evolution of cognitive computing capabilities, such as
advancements in machine learning techniques, and how adoption will be impacted by
multiple forces, from societal views to policies and skills. In the second report, we will explore
lessons learned from pioneering early adopters and provide insights on how you can prepare
to take advantage of cognitive computing solutions.
Threeareas of cognitive capability are directly
related to the ways people think and work.
Six forces will determine adoption and
advancement rates for cognitive computing.
Five key dimensions will impact the robustness
of future cognitive capabilities.
So what does cognitive computing do?
Cognitive computing…
• Accelerates, enhances and scales human
expertise
• Captures the expertise of top performers
– and accelerates the development of
expertise in others
• Enhances the cognitive process of
professionals to help improve decision making
in the moment
• Scales expertise by quickly elevating the
quality and consistency of decision making
across an organization.
2 Our cognitive future
5. The three capability areas for cognitive
We see three broad areas of capability for cognitive systems. Opening new doors for
innovations, these capability areas directly relate to the ways people think and work and
demonstrate increasing levels of cognitive capability. Significant progress has been made
across each of these capability areas, and opportunities for future evolutions of capability
look promising, as they continue to gain momentum in a number of industries.3
It is important
to note that these capabilities are not mutually exclusive. A specific business solution may in
fact leverage one or more of these capability areas.
“The current capabilities of cognitive
computing are just the beginning of
what can be.”
Dr. Manuela Veloso, Professor of Computer Science,
Carnegie Mellon University
Decision
Discovery
Source: IBM Institute for Business Value analysis.
Figure 1
There are three emerging capability areas for cognitive computing
Engagement
Cognitive computing capabilities
3
6. Engagement – These systems fundamentally change the way humans and systems
interact and significantly extend the capabilities of humans by leveraging their ability
to provide expert assistance and to understand. These systems provide expert
assistance by developing deep domain insights and bringing this information to
people in a timely, natural and usable way. Here, cognitive systems play the role of an
assistant – albeit one who is tireless, can consume vast amounts of structured and
unstructured information, can reconcile ambiguous and even self-contradictory data,
and can learn. In this partnership, the two – human and machine – are more effective
than either one alone.
Much like the human brain, these systems begin to build models of themselves and
the world around them. This world consists of the system itself, the knowledge
ingested from information corpora and the users of the system. The models include
the contextual relationships between various entities in a system’s world that enable it
to form hypotheses and arguments. As a result, these systems are able to engage in
deep dialogue with humans. Significant and proven capabilities have been built
around this capability area.In the future, increasingly more domain-specific question
and answer (QA) systems are expected to emerge. Many of them are likely to be
pre-trained with domain knowledge for quick adoption in different business-specific
applications. Additionally, future cognitive systems will advance to have free form
dialogue and reasoning capabilities.4
(See Case study: Leveraging cognitive
computing to assist military members in transitioning to civilian life.)
4 Our cognitive future
7. Case study
Leveraging cognitive computing to assist military members in transitioning to
civilian life
USAA, a financial services company, provides banking and insurance services to 10.4 million
past and present members of the U.S. Armed Forces and their immediate family members,
including veterans making the often difficult transition from military to civilian life. Like any
career change, moving from a military to a civilian career presents challenges to members
and their families. The process can be complex and intimidating as many do not know which
questions to ask and concepts to consider in making the transition. To better service these
customers, USAA has implemented an innovative cognitive computing solution leveraging
IBM’s Watson.
This solution allows transitioning military members to visit usaa.com or use a mobile browser
to ask questions specific to leaving the military, such as “Can I be in the reserve and collect
veterans compensation benefits?” or “How do I make the most of the Post-9/11 GI Bill?”
Starting with 2,000 questions, a team spent more than six months training and educating the
system. In addition, the solution analyzed and understands more than 3,000 specialized
military transition documents. The system’s natural language processing allows it to
understand real questions asked in diverse ways and provide expert advice directly to
customers. As a result, USAA is able to provide customers comprehensive answers to
complex questions in a non-judgmental environmental.5
5
8. Decision – These systems have decision-making capabilities. Decisions made by cognitive
systems are evidence-based and continually evolve based on new information, outcomes and
actions. Decisions made by these systems are also bias free; however, certain standards are
required for humans to fully trust their decisions. Currently, cognitive computing systems
perform more as advisors by suggesting a set of options to human users, who ultimately
make the final decisions. (See Case study: Cognitive computing solution helps support
decision making for improved patient care.) Confidence in a cognitive system’s ability to make
decisions autonomously depends on the ability to query and have traceability to audit why a
particular decision was made, as well as improved confidence scores of a system’s
responses. A confidence score is the quantitative value produced by a system representing
the merit of a decision after evaluating multiple options.6
Discovery – Discovery is the epitome of cognitive capability. These systems can discover
insights that perhaps could not be discovered by even the most brilliant human beings.
Discovery involves finding insights and connections and understanding the vast amounts of
information available around the world. With ever-increasing volumes of data, there is a clear
need for systems that help exploit information more effectively than humans could on their
own.7
While still in the early stages, some discovery capabilities have already emerged, and
the value propositions for future applications are compelling. Advances in this capability area
have been made in specific domains, such as medical research, where robust corpora of
information exist.8
(See Case study: Cognitive computing solution supports new discoveries
and insights in medical research.)
6 Our cognitive future
9. Case study
Cognitive computing solution helps support decision making for improved patient care
WellPoint, Inc., one of the largest health benefits companies in the United States, delivers a
number of health benefit solutions through its networks nationwide. Utilization management
nurses spend 40 to 60 percent of their time aggregating information that is faxed or mailed to
them to decide whether requests for procedures should be approved or denied based on
evidence-based medicine and WellPoint medical policies. For complex decisions, patients
can often wait weeks for the clinical review to occur, and a lack of available evidence or the
ability to process in a timely fashion can delay treatment or lead to errors. Also, it is extremely
challenging for medical professionals to keep up with the rapid advancements in medical
knowledge.
To address these challenges, WellPoint implemented a cognitive computing solution powered
by IBM’s Watson that provides decision support for the pre-authorization process. The
solution bases recommendations on its ability to interpret meaning and analyze queries in the
context of complex medical data and human and natural language, including doctors’ notes,
patient records, medical annotations and clinical feedback. As the solution learns, it becomes
increasingly more accurate. Even if nurses have to do additional research on a request,
Watson’s ability to aggregate the information and present it to them in a readable, structured
format saves a lot of time. Providing decision support capabilities and reducing paperwork
allows clinicians to spend more time with patients.9
7
10. Case study
Cognitive computing solution supports new discoveries and insights in
medical research
Baylor College of Medicine, a leading health sciences university, is constantly looking for
innovative approaches to advance and accelerate medical research. The time needed for
research professionals to test hypotheses and formulate conclusions currently ranges from
days to years. A typical researcher reads about 23 scientific papers per month, making it
humanly impossible to keep up with the ever-growing body of scientific material available.
Biologists and data scientists at Baylor have leveraged a cognitive computing system
powered by IBM’s Watson in their Baylor Knowledge Integration Toolkit (KnIT) to accelerate
research, unlock patterns and make discoveries with greater precision.
The system is trained to “think” like a human research expert by unlocking insights, visualizing
possibilities and validating theories at much greater speeds. Leveraging this solution,
researchers identified proteins that modify p53, an important protein related to many cancers,
which can eventually lead to better efficacy of drugs and other treatments in just a matter of
weeks. The solution analyzed 70,000 scientific articles on p53 to predict proteins that turn on
or off p53’s activity – a feat that would have taken researchers years to accomplish without
cognitive capabilities. As a result, cancer researchers have a variety of new directions in which
to target their research.10
8 Our cognitive future
11. The future evolution of cognitive
The future of cognitive computing – both how it advances as a technology and the rates of
adoption in the public and private sectors – will be greatly affected by external forces, as well
as technology evolutionary paths and trends.
Six major forces
Six forces will influence the future of cognitive computing and affect the rate of adoption in
both the public and private sectors.
Technology
• Advanced, intelligent devices will enable a greater
understanding of entity context and contribute to
the robustness of available information corpora.
• Greater scalability needs will drive new
architectures and paradigms.
Society
• Tremendousdemandformoreintelligentmachines
andaccessthroughmobiledevicescanfacilitate
familiarityandcomfortwithtechnology.
• Fears of privacy breaches and machines taking
human jobs could be a deterrent.
Information
• Variety and scalability capabilities of
future systems will advance rapidly to
cope with information exhaust.
• Information explosion could advance
evolution and adoption rates.
Perception
• Perceptions and expectations must
be well managed.
• Unrealistic perceptions of risk and
expectations could lead to a third
“AI Winter.”
Skills
• Cognitive computing demands unique skills,
such as natural language processing and
machine learning.
• Greater availability of key skills will be critical in
the evolution and adoption of the capability.
Policy
• Wider adoption will require modifying policies
(e.g., data sharing) and creating new policies
(e.g., decision traceability).
• Fear, uncertainty and doubt may be addressed
by new policies (e.g., data security and privacy).
Cognitive
computing
evolution
Figure 2
Six forces are impacting the evolution of cognitive computing
Source: IBM Institute for Business Value analysis.
“The degree of data sharing will likely
impact the adoption of cognitive
computing solutions; however, the
technical side is fascinating. Policies
can clearly impact technology but the
hope is that the capability will still
move forward.”
Dr. Manuela Veloso, Professor of Computer Science,
Carnegie Mellon University
9
12. Society – At the societal level, there will be two opposing forces at work. One will push toward
the technology, as the demand for more and more intelligent machines increases over time,
and the desire to access them through personal mobile devices grows as well. This increased
access and exposure to cognitive capabilities through mobile devices has the potential to
increase both familiarity and comfort with the technology. However, there will still be an
opposing force looking to slow adoption as broader understanding and enablement of
cognitive computing occurs.
Technology – There is already a strong belief among subject-matter experts that current
computer architectures and programming paradigms must advance to take cognitive
computing to the next level. Technology advances, including natural language processing,
neuromorphic computers, unsupervised machine learning algorithms (i.e., deep learning) and
virtual reality devices, may help in this evolution. Advances in intelligent devices (e.g., mobile
devices and the Internet of Things [IoT]) will enable greater understanding of entity (e.g., people
and assets) context, which can contribute greatly to the robustness of available information
corpora available to cognitive systems.
Perception – The value proposition of cognitive computing is compelling, and many
pioneering organizations are already realizing economic value. However, perceptions need to
be well managed and grounded in reality. Otherwise, the disparity between vastly different
views combined with misinformation could lead to another “AI Winter,” which refers to a period
of reduced funding and interest in artificial intelligence research.11
Educating the market about
the realities and potential value of cognitive computing is crucial to successful perception
management.
“The traceability of the machine
recommendations (i.e., why a
recommendation was made) will be
important in fostering confidence
and trust.”
Dr. Francesca Rossi, Professor of Computer Science,
University of Padova and Harvard University
10 Our cognitive future
13. Information – IDC projects that the digital universe will reach 40 zettabytes (ZB) by 2020. To
put this number into perspective, consider that 40 ZB is equal to 57 times the amount of all
the grains of sand on all the beaches on earth.12
This information explosion – driven in part by
the rapid growth of mobile devices and social media – has accelerated the growth and
application of cognitive computing. It is now nearly humanly impossible across vocations to
keep pace with the growing volume and velocity of information available today. As the
explosion reaches increasing orders of magnitude, cognitive computing will likely be forced
to evolve more rapidly. The variety and scalability of capabilities for future cognitive systems
will have to advance rapidly to cope with this information exhaust.
Policy – Wider adoption of cognitive computing across domains will likely require that
policies advance (e.g., data sharing, data security and privacy). Additionally, there may be
requirements for entirely new policies in response to advancements in cognitive capabilities.
For example, in the case of machine autonomous decision making (i.e., “decision” capability
area), policies addressing the traceability of the decision-making process may need to be
added. Additionally, in response to fear, uncertainty and doubt, authorities around the world
should review policies to help ensure they both responsibly progress the capability of
cognitive computing and protect citizens.
Skills – A key challenge for the advancement of cognitive computing will be the availability of
skilled humans. Advancing cognitive computing capabilities and implementing cognitive
systems require unique skill sets, such as those of machine learning experts and natural
language processing scientists. These skills are currently in high demand and limited supply.
“There are concerns over another
‘AI winter.’ Education programs will
be key to grow cognitive systems
capability, and IBM is doing a
significant amount of work in this
area.”
Dr. Jim Spohrer, Director Global University Programs,
IBM Research
11
14. Five key dimensions
How the three capabilities of cognitive computing evolve will depend on five important
dimensions. The evolution path and rate of advancement across these dimensions will impact
the robustness of future capability.
Figure 3
There are five evolutionary dimensions of cognitive computing
Source: IBM Institute for Business Value analysis.
How personalized
and interactive is it?
Evolving
dimensions
How can capability
scale to meet
demand?
How ubiquitous is the
capability?
What is the degree of
autonomy in learning?
What are the various
types of inputs it can
sense and interpret?
Personalized
interaction
Learning
Sensing
Ubiquity
Scalability
12 Our cognitive future
15. Personalized interaction – Current cognitive systems are predominantly passive in nature
and require that human beings initiate action to generate an output or response. Often this
interaction is through text typed on a computer, mobile app or web portal. Future cognitive
systems will increasingly enable enhanced natural interaction with users including voice and
visualization. Future systems will become increasingly more interactive and engaging.
Significant advancements have already been made to better understand users and deliver
responses fit for the user’s specific locative and temporal context.
Learning – Current cognitive systems are predominantly trained systems (supervised
learning). These systems rely upon humans with domain-specific subject matter expertise to
train them. This process can be more labor intensive and time consuming. Future cognitive
systems will adopt greater unsupervised learning, which will require much less human
interaction in the system training process. The research community is actively looking to make
breakthroughs in this area.
Sensing – Current cognitive systems primarily work with natural language text and require
natural language processing capability for a particular language. Natural language processing
capabilities for English and Western European languages are more advanced today. Future
generations of cognitive systems will accommodate a variety of media beyond text (e.g., audio,
image, video). Continued advancements in this dimension will be dependent on various
disciplines of computer science (e.g., speech and image processing, pattern recognition).
“We’re just at the beginning of this
cognitive computing era.”13
Dr. John Kelly, IBM Senior Vice President and Director of IBM
Research
13
16. Ubiquity – Cognitive systems are increasingly being deployed to be widely available and
accessible over web portals, mobile apps and cloud. In the future, as the adoption of
cognitive-based systems increases, they will eventually spread to become ubiquitous. This
future could include a marketplace with millions of cognitive agents or avatars, driven in part
by the explosive adoption of mobile devices, the IoT and the upsurge of machine-to-machine
interaction. Tomorrow’s cognitive computing fabric will be interwoven into technology (such
as social media), thereby touching our daily lives.
Scalability – Cognitive systems need to continue to increase in scalability to support wide
applicability. In 2011, the version of IBM’s Watson system that beat the reigning champion on
the U.S. television game show Jeopardy! required 90 IBM Power 750 servers. By January
2014, Watson was 24 times faster, had a 2,400 percent improvement in performance and was
90 percent smaller.14
In the future, cognitive systems may be offered as a fabric. IBM has
already made its Watson technology available as a development platform in the cloud, which
is spurring innovation and fueling a new ecosystem of entrepreneurial software application
providers.15
WayBlazer, a travel inspiration, recommendation and planning platform that
provides consumers with more personalized, relevant and valuable information, is one
example of a partner realizing value in this ecosystem model. WayBlazer uses a standards-
based cognitive cloud powered by IBM Watson technology to recommend targeted travel
insights and commerce offers that are tailored and customized for each consumer’s
experience.16
14 Our cognitive future
17. Ready or not? Ask yourself these questions
• What opportunities exist to create more engaging and personalized experiences for your
constituents?
• What data aren’t you leveraging that – if converted to knowledge – would allow you to
meet key objectives and business requirements?
• What is the cost to your organization associated with making non-evidence-based
decisions or not having the full array of possible options to consider when actions are
taken?
• What benefit would you gain in being able to detect hidden patterns locked away in your
data? How would this accelerate research, product development, customer services
and the like?
• What is your organizational expertise skill gap? What would change if you could equip
every employee to be as effective as the leading expert in that position or field?
Cognitive computing has the potential to provide significant business and economic value to
organizations across industries. Stay tuned for the next in the series of reports from the IBM
Your cognitive future study, where we will explore lessons learned from pioneering early
adopters and provide recommended steps for your organization to gain first mover advantage
and begin creating new opportunities.
For more information
To learn more about this IBM Institute for Business
Value study, please contact us at iibv@us.ibm.com.
Follow @IBMIBV on Twitter, and for a full catalog of our
research or to subscribe to our monthly newsletter,
visit: ibm.com/iibv
Access IBM Institute for Business Value executive
reports on your tablet by downloading the free “IBM
IBV” app for iPad or Android from your app store.
The right partner for a changing world
At IBM, we collaborate with our clients, bringing
together business insight, advanced research and
technology to give them a distinct advantage in
today’s rapidly changing environment.
IBM Institute for Business Value
The IBM Institute for Business Value, part of IBM Global
Business Services, develops fact-based strategic
insights for senior business executives around critical
public and private sector issues.
15
18. Study approach and methodology
In the summer of 2014, the IBM Institute for Business Value initiated a study focused on
addressing three questions related to cognitive computing:
1. What is the current state of cognitive computing and how is it expected to evolve?
2. What lessons can be learned from pioneering organizations that have implemented
cognitive computing solutions across various industries?
3. What are the key strategy and planning considerations and what steps can leaders take to
make cognitive computing a reality in their organization?
To address these questions, we conducted interviews with dozens of global subject matter
experts (SMEs) in various areas related to the emerging field of cognitive computing. SMEs
included members of industry with experience in implementing real-world cognitive
computing solutions across multiple domains (e.g., program executives and technical leaders
of cognitive computing system implementations) and members of industry and academia
focused on cognitive computing research and development across multiple research areas
(e.g., professors of computer science at leading universities, members of the Association for
the Advancement of Artificial Intelligence [AAAI]). Interviews focused on gaining insights on
the future of cognitive computing and the forces likely to impact the direction of this
technology, as well as harvesting lessons learned from real-world systems being
implemented by pioneering organizations.
16 Our cognitive future
19. About the study executive leaders
Jay Bellissimo is the General Manager of Watson Transformations in IBM’s Watson Group.
Jay is responsible for helping drive the next era of computing – cognitive computing –
by creating markets, transforming industries and helping clients explore new business models
to take advantage of the many benefits of cognitive computing. He can be reached at
joseph.bellissimo@us.ibm.com.
Shanker Ramamurthy is the Global Managing Partner of Business Analytics and Strategy
within IBM Global Business Services. Shanker is responsible across all industries globally for
the consulting services that include Digital Operations; Finance, Risk and Fraud; Big Data
Analytics; Talent and change; and the IBM Institute for Business Value. He can be reached at
sramamur@us.ibm.com.
About the authors
Dr. Sandipan Sarkar is an Executive Architect in the IBM Global Business Services Global
Government Center of Competency and is responsible for designing and implementing
complex and innovative technology solutions for organizations around the world. Sandipan
holds a PhD in natural language processing from Jadavpur University. He can be reached at
sandipan.sarkar@in.ibm.com.
Dave Zaharchuk is the Global Government Industry Leader for the IBM Institute for Business
Value. Dave is responsible for directing thought leadership research on a variety of issues and
topics. He can be reached at david.zaharchuk@us.ibm.com.
17
20. Contributors
Dr. Lisa Amini, Ian Baker, Dr. Guruduth Banavar, Grady Booch, Dr. Chris Codella, Steve Cowley,
Dr. Will Dubyak, Juliane Gallina, John Gordon, Bill Hume, Brian Keith, Peter Korsten, Ravesh
Lala, Gina Loften, Phil Poenisch, Dr. Francesca Rossi, Dr. Manuela Veloso and Eric Will.
Acknowledgments
We would also like to thank Brian Bissell, Dr. Eric Brown, Dr. Murray Campbell, Patricia Carrolo,
John Hogan, Dr. Daniel Kahneman, Shibani Kansara, Nitin Kapoor, Eric Lesser, Ryan Musch,
Mary Ann Ryan, Prasanna Satpathy, Akash Sehgal, David Sink and Dr. Jim Spohrer.
18 Our cognitive future
21. Notes and sources
1 “Healthcare Decision Support and IBM Watson: – Markets Reach $239 Billion By 2019.”
WinterGreen Research, Inc. Press Release. March 19, 2013. http://wintergreenresearch.
com/reports/Healthcare%20Decision%20Support%202013%20press%20release.pdf
2 “IBM Global Technology Outlook 2014.” IBM Research. 2014.
3 Ibid.
4 Ibid.
5 “USAA members can quiz this celebrity computer soon (Who is Watson?).” USAA News.
July 23, 2014. https://communities.usaa.com/t5/USAA-News/USAA-members-can-
quiz-this-celebrity-computer-soon-Who-is-Watson/ba-p/37556?SearchRanking=
1SearchLinkPhrase=watson; “USAA and IBM Join Forces to Serve Military Members.”
IBM Press Release. July 23, 2014. http://www-03.ibm.com/press/us/en/
pressrelease/44431.wss
6 “IBM Global Technology Outlook 2014.” IBM Research. 2014.
7 Ibid.
8 Ibid.
9 Terry, Ken. “IBM Watson Helps Doctors Fight Cancer.” Informationweek.com. February 8,
2013. http://www.informationweek.com/healthcare/clinical-information-systems/
ibm-watson-helps-doctors-fight-cancer/d/d-id/1108594?page_number=1
19
22. 10 Picton, Glenna. “Study shows promise in automated reasoning, hypothesis generation
over complete medical literature.” Baylor College of Medicine News. August 25, 2014.
https://www.bcm.edu/news/research/automated-reasoning-hypothesis-generation
11 AI Newsletter. January 2005. http://www.ainewsletter.com/newsletters/aix_0501.htm#w
12 “New Digital Universe Study Reveals Big Data Gap: Less Than 1% of World’s Data is
Analyzed; Less Than 20% is Protected.” EMC Press Release. EMC website. December 11,
2012. http://www.emc.com/about/news/press/2012/20121211-01.htm
13 Greenemeier, Larry. “Will IBM’s Watson Usher in a New Era of Cognitive Computing?”
Scientific American. November 13, 2013, accessed August 6, 2014. http://www.
scientificamerican.com/article/will-ibms-watson-usher-in-cognitive-computing/
14 “IBM Watson Group Unveils Cloud-Delivered Watson Services to Transform Industrial
RD, Visualize Big Data Insights and Fuel Analytics Exploration.” IBM Press Release.
January 9, 2014. http://www-03.ibm.com/press/us/en/pressrelease/42869.wss
15 “IBM Watson’s Next Venture: Fueling New Era of Cognitive Apps Built in the Cloud by
Developers.” IBM Press Release. November 14, 2013. http://www-03.ibm.com/press/us/
en/pressrelease/42451.wss
16 “Digital Travel Pioneer Terry Jones Launches WayBlazer, Powered by IBM Watson.”
IBM Press Release. October 7, 2014. https://www-03.ibm.com/press/us/en/
pressrelease/45024.wss
20 Our cognitive future