Cognitive Analytics will become the chief focus of innovation, will converge all big data, it will take a root in global governance and it will start to automate most data analytics among other advantages. Want to consider it?
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
Top 6 Upcoming Big Data Trends of 2018!Ajeet Singh
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
In this presentation, Krunal introduces the concept of IoT and associated trends. His interest area is in IoT applications in healthcare and energy management systems.
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
With the computer revolution digital data has become available. With the Internet and smart connected product, the data is growing exponentially. With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data.
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
Top 6 Upcoming Big Data Trends of 2018!Ajeet Singh
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
In this presentation, Krunal introduces the concept of IoT and associated trends. His interest area is in IoT applications in healthcare and energy management systems.
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
With the computer revolution digital data has become available. With the Internet and smart connected product, the data is growing exponentially. With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data.
3rd Wave of Computing - Ambient ComputingAjay Malik
The computing industry has undergone a dramatic shift in the last five years. The exponential growth in the power of computer chips by doubling the number of transistors in a dense integrated circuit approximately every two years, known as Moore’s Law is now replaced by an exponential growth of data. Data volumes are doubling every two years as innovative technologies such as IoT, AI, VR, AR are flooding enterprises with an endless stream of data. The amount of data created every day is estimated at 2.5 quintillion bytes.
Data is the new oil. It is just like crude. It’s valuable, but only when refined. You need to break it down and analyze it to extract value. The need to analyze this vast amount of data to extract value is being addressed using concepts such as edge computing or fog computing. However, what exactly is needed is ambient computing.
Ambient computing is the local computing surrounding on all sides – omnipresent.
The ambient computing paradigm builds upon computing available in things around us. However, these things do not work as individually smart but work together as a team. Think, massively distributed device networks around you:
* Recognizing you and your situational context
* Changing in response to you
* Anticipating your desires without conscious mediation
Ambient computing does not mean that we will not need cloud computing anymore
* The idea is to divide the workload so that processing is closer to the point of interaction
* Think of this as a method of accelerating and improving the performance of cloud computing
* Smarter partitioning of data processing between point of interaction & cloud
It will be achieved by adding intelligence and capabilities into our surroundings. The Compute will disappear around us.
You need to start exploring how you will enable ambient computing.
Mobile. The term is at the forefront of almost every discussion about technology trends, the future of computing, and Digital Government. So what is it and why should you care? In this educational and interactive session, Pete Eichorn, Director of Technology at Texas.gov will “cut to the chase” and discuss the latest trends in mobility and their potential impact on you and your agency. In this presentation, Pete will cover the importance of mobile and explore its power; demystify the latest trends in mobile technology; and get you started on the path to mobile Zen.
How To Improve IoT Applications with Data Analytics Rock Interview
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
In this presentation, Manish introduces the concept of IoT and associated trends.His interest lies in merging IoT and nanotech to convert real life to a VR type reality.
Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Cha...CSCJournals
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
Adaptive Input — Breaking Development Conference, San DiegoJason Grigsby
Windows 8. Chromebook Pixel. Ubuntu Phone. These devices shatter another consensual hallucination that we web developers have bought into: mobile = touch and desktop = keyboard and mouse.
We have tablets with keyboards; laptops that become tablets; laptops with touch screens; phones with physical keyboards; and even phones that become desktop computers. Not to mention new forms of input like cameras, voice control, and sensors.
We've learned how to respond to screen size. Our next challenge is learning how to adapt to different forms of input.
What is cognitive load theory and why should you care?Jo Hanna Pearce
A 5 minute lightning talk giving an overview of cognitive load theory and how we can apply it to managing software development.
First presented at London Web Standards meetup on 25/01/2016
Personalized Intelligence in KOL engagement and why it's all about you. Jason Smith
At MASS West 2016, rMark Bio's CEO, Jason Smith, discusses how big data and cognitive computing can be leveraged to provide personalized business intelligence for the life science industry.
Looking at the relationship between Machine Learning, Deep Learning and the Brain
Slides from a talk given at the Machine Learning and AI meetup in Melbourne. http://www.meetup.com/Machine-Learning-AI-Meetup/events/227156709/
3rd Wave of Computing - Ambient ComputingAjay Malik
The computing industry has undergone a dramatic shift in the last five years. The exponential growth in the power of computer chips by doubling the number of transistors in a dense integrated circuit approximately every two years, known as Moore’s Law is now replaced by an exponential growth of data. Data volumes are doubling every two years as innovative technologies such as IoT, AI, VR, AR are flooding enterprises with an endless stream of data. The amount of data created every day is estimated at 2.5 quintillion bytes.
Data is the new oil. It is just like crude. It’s valuable, but only when refined. You need to break it down and analyze it to extract value. The need to analyze this vast amount of data to extract value is being addressed using concepts such as edge computing or fog computing. However, what exactly is needed is ambient computing.
Ambient computing is the local computing surrounding on all sides – omnipresent.
The ambient computing paradigm builds upon computing available in things around us. However, these things do not work as individually smart but work together as a team. Think, massively distributed device networks around you:
* Recognizing you and your situational context
* Changing in response to you
* Anticipating your desires without conscious mediation
Ambient computing does not mean that we will not need cloud computing anymore
* The idea is to divide the workload so that processing is closer to the point of interaction
* Think of this as a method of accelerating and improving the performance of cloud computing
* Smarter partitioning of data processing between point of interaction & cloud
It will be achieved by adding intelligence and capabilities into our surroundings. The Compute will disappear around us.
You need to start exploring how you will enable ambient computing.
Mobile. The term is at the forefront of almost every discussion about technology trends, the future of computing, and Digital Government. So what is it and why should you care? In this educational and interactive session, Pete Eichorn, Director of Technology at Texas.gov will “cut to the chase” and discuss the latest trends in mobility and their potential impact on you and your agency. In this presentation, Pete will cover the importance of mobile and explore its power; demystify the latest trends in mobile technology; and get you started on the path to mobile Zen.
How To Improve IoT Applications with Data Analytics Rock Interview
The IoT industry is at its peak right now and the true business value of the IoT lies in the analytics rather than the hardware novelties. It is known by now that data analytics and IoT are the future. Here are some ways to improve IoT devices with data analytics.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
In this presentation, Manish introduces the concept of IoT and associated trends.His interest lies in merging IoT and nanotech to convert real life to a VR type reality.
Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Cha...CSCJournals
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
Adaptive Input — Breaking Development Conference, San DiegoJason Grigsby
Windows 8. Chromebook Pixel. Ubuntu Phone. These devices shatter another consensual hallucination that we web developers have bought into: mobile = touch and desktop = keyboard and mouse.
We have tablets with keyboards; laptops that become tablets; laptops with touch screens; phones with physical keyboards; and even phones that become desktop computers. Not to mention new forms of input like cameras, voice control, and sensors.
We've learned how to respond to screen size. Our next challenge is learning how to adapt to different forms of input.
What is cognitive load theory and why should you care?Jo Hanna Pearce
A 5 minute lightning talk giving an overview of cognitive load theory and how we can apply it to managing software development.
First presented at London Web Standards meetup on 25/01/2016
Personalized Intelligence in KOL engagement and why it's all about you. Jason Smith
At MASS West 2016, rMark Bio's CEO, Jason Smith, discusses how big data and cognitive computing can be leveraged to provide personalized business intelligence for the life science industry.
Looking at the relationship between Machine Learning, Deep Learning and the Brain
Slides from a talk given at the Machine Learning and AI meetup in Melbourne. http://www.meetup.com/Machine-Learning-AI-Meetup/events/227156709/
The Conversation Gets Interesting: Creating the Adaptive InterfaceStephen Anderson
With the proliferation of rich Internet applications and interactions more closely aligned with how people think, we face some interesting challenges:
* Do we design for one common audience and common tasks, or tailor applications around specific audiences and their unique activities?
* How do we resolve the tension between creating simple applications that ‘do less’ and the demand for new features that some people really do need?
* As we move beyond usability to create desirable interfaces, how do we handle a subjective domain like emotions?
These types of challenges could all be addressed by creating a truly ‘adaptive' interface. More than removing unused menu options or collaborative filtering, this would include functionality that is revealed over time as well as interface elements that change based on usage. Imagine the web-based email client that begins offering three forms fields for attachments instead of the default one, because it 'noticed' that you frequently upload more than one file. Or the navigation menu that disappears because it is not relevant to the task at hand. Sound scary? Look at the world of game design, where inconsistency has never been an issue and where users learn new functions over time, as needed. In the same ways that ads are becoming more targeted around context and behavior, we can also create interfaces that respond, suggest, or change based on actual usage data.
While much of this is still speculative, we'll explore some concrete examples of how such ideas have already been used, and other instances where they could be used. We'll also take a brief look at what technologies might support these interactions, as well as some of the rules engines that might make this possible. And, to ground this in the past, we'll at some existing navigational theories and research that might support this argument for an interface that is truly conversational and context aware.
Presented at UX Australia 2011, Sydney, as part of the 10 minute series. This talk looks at inclusive and universal design tips for cognitive disabilities.
Modeling and Adapting to Cognitive LoadLucas Rizoli
A summary of three papers on assessing users' cognitive load and adapting interfaces to it, used as a starting point for class discussion.
Presented on Nov. 20, 2007 for CPSC 532B (http://www.cs.ubc.ca/~conati/532b-2007/532-description.html)
For all our accumulated information there's a clear absence of understanding. Are sensemaking tools the next big thing?
(Keynote give at Big Design 12: http://bigdesignevents.com/sessions/to-boldly-go-from-information-to-understanding )
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
The advent of artificial super intelligence and its impactsFernando Alcoforado
Artificial Super Intelligence will be the first technology to potentially surpass humans in all dimensions. Until now, human beings have had a monopoly on decision-making and therefore have control over everything. With Artificial Super Intelligence, this can end. A wide range of consequences can occur, including extremely good consequences and consequences as bad as the extinction of the human species.
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
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!
Top And Best Digital Marketing Agency With AIamdigitalmark15
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Five Converging Forces that Are Driving Technological EvolutionCognizant
The digital era is catalyzing business, unleashing technological change that may appear chaotic on the surface but is resulting in massively powerful systems of intelligence that enable humans and machines to collaborate securely.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
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Understand the value of cognitive solutions
Capitalize on opportunities with mobile, social, cloud and analytics.
How cognitive solutions are enhancing the way we live and work. What are cognitive solutions? What can cognitive bring to your business? Find out here!
There are some things that are so big that they have implications for everyone, whether we want it or not. Big Data is one of those things, and is completely transforming the way be do business and is impacting most other parts of our lives. Big Data refers to our ability to make use of the ever-increasing volumes of data.
Cloud has matured to become a platform for business information. In order to win in the new digital economy, organizations must choose the right cloud computing model. IBM offers Blue Box cloud services to allow you to meet key client requirements, and is designed to enable a cost-efficient, minimu footprint as well as scalability.
The cognitive era is just around the corner and IBM has opened the gate to new possibilities thanks to Watson. But what's cognitive? Cognitive is a partnership between the human and the machine. It combines the common sense, the morale of a human being with the accuracy, leverage and vast amounts of storage from the machine. See what Watson can do to expand your business, get to know your customers better and access a new way to interact with them.
Why focus on the customer journey? Because today's digital consumer is engaged and empowered, owns four devices and consumes 60 hours of digital content per week. The majority of this customer engagement happens during a journey.
The difficult task for maketers is to understand how customers interact with their brand and this requires seeing their entire journey and connecting the dots.
IBM is providing solutions to meet these challenges and fully understand the customer journey with Journey Analytics.
Take a look!
Meet the IBM Storwize family and discover IBM Smarter Storage for small and medium businesses and its advantages: efficient by design, self optimizing, cloud agile. Start smart and grow easily with IBM Smarter Storage and meet its high performance like a midrange disk system.
IBM cloud helps you to avoid data breaches and consequences as data theft, intrusions and vulnerabilities in the platform. Cloud can tranform your security practices. Respond to new threats in or out of the oficce, Cloud combines visibility, data protection, threat prevention and access management.
Big fix and Qradar will tighten endpoint security and avoid hackers threats offering the clients an integrated threat protection, enabling automated offense identification and continuous security configuration enforcement.
This presentation is about how can Internet be applied on the human body. Biohackers implant devices on their bodies to send data. This could be an advantage for healthcare matters.
¿Como crear una infraestructura que reduzca costos, proteja la información y entregue nueva inteligencia para permitir decisiones de negocios más inteligentes?
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.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
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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/
2. 1. Cognitive analytics will become inescapable in
everyday life
Cognitive analytics is transforming life and work in the 21st century. Key trends
include the adoption of cognitively enriched intelligent machines such as mobile
devices and Internet of Things (IoT) devices. The cognitive computing fabric will
be interwoven into technology (e.g., social media) and touch our daily lives.
3. 2. Cognitive analytics will
become the chief focus
of innovation
To drive business success, developers
everywhere are building cognitive applications
for every conceivable use, and data scientists with
cognitive skills are at the heart of this fast-growing
developer ecosystem.
4. 3. Cognitive analytics will begin to converge all big data
Cognitive analytics is
ingesting new types of information.
The cognitive revolution runs on fresh feeds
of an ever-growing pool of disparate data, including
media streams, IoT sensor data and other
nontraditional sources.
5. 4. Cognitive analytics will become the hottest specialty
in data science
A new generation of data scientists is coming of age. These data scientists are
adept at cognitive application development in Apache Spark, Apache Hadoop, R
and other open platforms and tools. And they are combining statistical modeling,
subject matter domain knowledge and programming skills.
6. 5. Cognitive analytics will take root in global governance
As cognitive applications drive more business processes and automate decisions,
society is calling for highly comprehensive legal, regulatory and policy frameworks
to manage compliance, risks and ramifications.
7. 6. Cognitive analytics will become the principal
personalization tool
Cognitive systems are becoming active, context-aware personalized
interaction agents: the future of cognitive applications in our lives is pervasive
personalization. Cognitive systems will increasingly understand the geospatial
and temporal context of everything we do, and deliver responses that
consistently fit for those contexts.
8. 7. Cognitive analytics will start to automate most
data analysis
Cognitive systems are adopting unsupervised learning to automate sensing
and detection of deep patterns and nuances within complex data sets. Machine
learning is enabling automated systems to understand new concepts on their
own and train themselves to be experts.
9. 8. Cognitive analytics will drive further scaling in cloud
data services
Cognitive systems are scaling inexorably and indefinitely. As cognition-as-a-
service offerings such as IBM Watson gain adoption, the scalability will expand in
the volume, velocity and variety of data and algorithms being executed as well as
the resource requirements.