Last week, I visited University of New South Wales, in Australia, and gave a talk providing an overview on research work over the past couple of years to establish a framework for Cognitive Enterprise services, specifically on how the lifecycle of enterprise services from sales to delivery and operation is transformed in the cognitive era. I provided an overview of the research assets we have produced, some of which is in industry or the company in various ways.
The introductory slides that I presented in the Dagstuhl Seminar on Fresh Apporaches to BPM (http://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=16191), presented on May 9, 2016
From Services to Cogs and Journey to Cognitive BPMHamid Motahari
The keynote at Joint IEEE BigData Service 2017, and 11th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2017) with a focus on Cognitive Assistant in the Enterprise, and Cognitive Services.
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.
Last week, I visited University of New South Wales, in Australia, and gave a talk providing an overview on research work over the past couple of years to establish a framework for Cognitive Enterprise services, specifically on how the lifecycle of enterprise services from sales to delivery and operation is transformed in the cognitive era. I provided an overview of the research assets we have produced, some of which is in industry or the company in various ways.
The introductory slides that I presented in the Dagstuhl Seminar on Fresh Apporaches to BPM (http://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=16191), presented on May 9, 2016
From Services to Cogs and Journey to Cognitive BPMHamid Motahari
The keynote at Joint IEEE BigData Service 2017, and 11th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2017) with a focus on Cognitive Assistant in the Enterprise, and Cognitive Services.
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.
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.
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.
"Design Thinking + IT-Mediated Services = Innovation Excellence"
August 2009
White paper from Motiv Strategies CEO Jeneanne Rae and Director Carl Fudge.
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.
IBM Watson, the cognitive technology that enhances, scales, & accelerates human expertise, is available to anyone through Bluemix, IBM’s PaaS. Watson's cognitive capabilities on Bluemix will enhance apps & help developers realize ideas not possible with today's systems.
Quick test, ask your phone “find anything but pizza restaurants”. Did you get back a list of pizza restaurants? Think about how we’ve been trained to keyword search. We have all been Google-fied & we may not even know it. Humans adapt their language, one that predates machines, to the limitations of a system.
But Watson is not a machine that lets us talk to it. It’s bigger, and that’s why this is a historic moment for developers, businesses & entrepreneurs. IBM is creating tools that can understand language, determine a personality portrait, expand concepts & more. In this session we will discuss & demo Watson Services on Bluemix & how developers can now embed these into their apps for unprecedented cognitive power.
The Future for Smart Technology ArchitectsPaul Preiss
The future of software and even hardware is based in ever more complex abilities to adapt to highly dynamic change and input. The Internet of Things brings with it input from billions of sources locally and around the globe and for intelligent architects this represents an opportunity to create deep competitive advantage and customer loyalty.
The Japanese have used intelligent systems for years from cars to trains to vacuum cleaners and there will continue to be smarter and smarter systems. Architects around the world must include this thinking into their designs and strategies. Adaptive social networks, individually designed health care, just in time 3d printing are only some of the components of this coming era.
How to include smart system thinking into designs
How to get started with smart tools like inferencing, fuzzy, neural and other technologies
When to think smart and when to avoid
Possible outcomes to strive for today in preparing your architecture for the age of smart systems
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
Conversational Architecture, CAVE Language, Data StewardshipLoren Davie
These are the slides from the presentation I gave at the Semiotics Web meetup group on Nov 1st 2014. In this talk I discussed the emergency of the ubiquitous Internet, how to discuss the design of contextual apps, and presented an approach to privacy concerns that are inherently connected.
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!
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.
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.
"Design Thinking + IT-Mediated Services = Innovation Excellence"
August 2009
White paper from Motiv Strategies CEO Jeneanne Rae and Director Carl Fudge.
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.
IBM Watson, the cognitive technology that enhances, scales, & accelerates human expertise, is available to anyone through Bluemix, IBM’s PaaS. Watson's cognitive capabilities on Bluemix will enhance apps & help developers realize ideas not possible with today's systems.
Quick test, ask your phone “find anything but pizza restaurants”. Did you get back a list of pizza restaurants? Think about how we’ve been trained to keyword search. We have all been Google-fied & we may not even know it. Humans adapt their language, one that predates machines, to the limitations of a system.
But Watson is not a machine that lets us talk to it. It’s bigger, and that’s why this is a historic moment for developers, businesses & entrepreneurs. IBM is creating tools that can understand language, determine a personality portrait, expand concepts & more. In this session we will discuss & demo Watson Services on Bluemix & how developers can now embed these into their apps for unprecedented cognitive power.
The Future for Smart Technology ArchitectsPaul Preiss
The future of software and even hardware is based in ever more complex abilities to adapt to highly dynamic change and input. The Internet of Things brings with it input from billions of sources locally and around the globe and for intelligent architects this represents an opportunity to create deep competitive advantage and customer loyalty.
The Japanese have used intelligent systems for years from cars to trains to vacuum cleaners and there will continue to be smarter and smarter systems. Architects around the world must include this thinking into their designs and strategies. Adaptive social networks, individually designed health care, just in time 3d printing are only some of the components of this coming era.
How to include smart system thinking into designs
How to get started with smart tools like inferencing, fuzzy, neural and other technologies
When to think smart and when to avoid
Possible outcomes to strive for today in preparing your architecture for the age of smart systems
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
Conversational Architecture, CAVE Language, Data StewardshipLoren Davie
These are the slides from the presentation I gave at the Semiotics Web meetup group on Nov 1st 2014. In this talk I discussed the emergency of the ubiquitous Internet, how to discuss the design of contextual apps, and presented an approach to privacy concerns that are inherently connected.
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!
"Natural Language Access to Data: Where Reasoning Makes Sense"diannepatricia
Richard Waldinger from SRI International presented this for the Cognitive Systems Institute Speaker Series on April 7, 2016. To hear a replay go to http://cognitive-science.info/community/weekly-update/
Kris Kitani from Carnegie Mellon University and Chieko Asakawa, IBM Fellow, presented a “Cognitive Assistant for the Blind” as part of the Cognitive Systems Institute Speaker Series.
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
Challenges and opportunities for academic librarieslisld
Research and learning behaviors are changing in a network environment. What challenges do Academic libraries face? What opportunities do they have? A presentation given at a symposium on the future of academic libraries at the Open University.
This presentation was used in a national level ecommerce seminar held in Hyderabad on 27th Feb 2015. This seminar was the initiative of the RBVRRIT college Abids
The seminar is all about the "E-commerce impact on the economic development"
Thank you for downloading our Shift Happened presentation: our biased selection of events that took place in August 2011.
We hope you’ll enjoy the content and will be able to make use of it.
Happy sharing and looking fwd to hearing from you in September 2011!
A DEVELOPMENT FRAMEWORK FOR A CONVERSATIONAL AGENT TO EXPLORE MACHINE LEARNIN...mlaij
This study aims to introduce a discussion platform and curriculum designed to help people understand how
machines learn. Research shows how to train an agent through dialogue and understand how information
is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy
based on existing research and integrates a wide range of different subject documents into a set of key AI
literacy skills to develop a user-centered AI. This functionality and structural considerations are organized
into a conceptual framework based on the literature. Contributions to this paper can be used to initiate
discussion and guide future research on AI learning within the computer science community.
Presentation from the San Diego Advanced Defense Technology Cluster Meeting on December 17 2013 to prime and other small companies focused on providing technology to help keep the world safe,both real and online.
Design considerations for machine learning systemAkemi Tazaki
Critical commentary based on my professional experience in designing apps with artificial intelligence and on desktop research. Presentation slides for Botscampe 2016.
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 ...
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
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
This second machine age has seen the rise of artificial intelligence (AI), or “intelligence” that is not the result of
human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants. aI is the result of exponential growth in computing power, memory capacity, cloud computing, distributed and parallel processing, open-source solutions, and global connectivity of both people
and machines. The massive amounts and the speed at which structured and unstructured (e.g., text, audio, video, sensor) data is being generated has made a necessity of speedily processing and generating meaningful, actionable insights from it.
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
AI Powered Campus Resource Assistance using Google Dialog FlowYaswantAY
The "AI Powered Campus Resource Assistance" project leverages cutting-edge technologies such as Natural Language Processing (NLP) and Generative AI to enhance campus experiences through an intelligent and conversational interface. Developed on the Google Dialog flow platform, our solution aims to revolutionize the way students and faculty access and interact with campus resources.
The system employs NLP to understand and interpret user queries, allowing for seamless communication between users and the AI assistant. Through the integration of Generative AI, the platform goes beyond predefined responses, generating contextually relevant and personalized information tailored to the user's needs. This dynamic approach enables the AI to adapt to various scenarios, providing a more human-like interaction and enhancing user engagement.
Key features include real-time assistance with campus navigation, event information, academic queries, and other resource-related inquiries. Users can effortlessly seek information, receive updates, and engage in meaningful conversations, fostering a more connected and informed campus community.
By harnessing the power of Google Dialog flow, our project not only streamlines information retrieval but also ensures scalability, accessibility, and ease of integration with existing campus systems. This AI-driven solution represents a significant step toward creating an intelligent, user-centric campus environment, ultimately enhancing the overall educational experience for all stakeholders.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas