Cognitive analytics

Company Leading provider of enterprise Reporting and Analytics software. • • • • • • • • • • • Why Orbit • Products • Features & Functions • Operational Reporting • Financial Reporting • Business Intelligence • Data Management • Software & License • On-Premise • Cloud BI (SAAS) • Embedded Reporting + Analytics • Solutions • Accelerators • Application Adapters • Connectors • Subject Areas • Oracle Discoverer Migration • Topics • Sectors • Roles • Featured List • Oracle E-Business Suite • Oracle Cloud ERP • Oracle Fusion Financial Reporting • Oracle Fusion Cloud Reporting • Oracle Fusion Cloud Data Pipelines • Legacy Data Reporting for Oracle EBS Data • Oracle Netsuite • PeopleSoft • Learning • Webinars • Blog • Whitepapers • Brochures • Training • Support • BI Glossary • Company • About Us • News & Events • Partners • Contact Us • Careers • Pricing • Request Demo Cognitive Analytics is intelligent technology that covers multiple analytical techniques to analyze large data sets and give structure to the unstructured data. To put it simply, a cognitive analytics system searches through the data that exists in its knowledge base to find solutions that make sense for the questions posed. Cognitive analytics can be thought of as analytics with human-like intelligence. This can include understanding the context and meaning of a sentence, or recognizing certain objects in an image given large amounts of information. Cognitive analytics often uses artificial intelligence algorithms...

Cognitive Analytics is a field of Analytics that tries to mimic the human brain by drawing inferences from existing data and patterns, draws conclusions based on existing knowledge bases, and then inserts this back into the knowledge base for future inferences – a self-learning feedback loop. Cognitive Analytics brings together a series of intelligent technologies that include semantics, artificial intelligence algorithms, deep learning, andmachine learning. By applying these techniques, a cognitive application can become more intelligent and effective over time by learning from its interactions with data and with humans. Cognitive Work Analysis CognitiveWorkAnalysis(CWA) is a framework that was developed to model complex socio-technical work systems. The framework models different types of constraints, building a model of how work could proceed within a given work system. Applied in the company, Cognitive Analysis can be used to close the important gap between large volumes of information and the need to make decisions in real-time. In-depth knowledge of information helps companies take advantage of the wide variety of information sources in their knowledge base to improve the quality of business knowledge, competitive positioning and provide an in-depth and personalized approach to customer service. Commercial Applications of Cognitive Analytics: 1) Audience segmentation Audience segmentation is a crucial part of providing relevant messages to consumers. Most marketing s...

CAT looks at the way your past has affected your current actions and helps you create a new way forward. Cognitive analytic therapy (CAT) is a type of talk therapy that focuses on helping people recognize and change the way that they behave and interact with others. Below, we’ll share an overview of what cognitive analytic therapy is, including what to expect during sessions and what science says about the effectiveness of CAT for treating mental health conditions. One of the main focal points of CAT is exploring how someone’s life experiences have shaped the way that they interact with themselves and the people around them. According to CAT, the impact of these past experiences generally causes three specific types of • Traps happen when dysfunctional behaviors and negative thought patterns feed on each other, almost in a type of “cycle.” When people aren’t able to recognize these spirals, it keeps them stuck in the trap of these behaviors and thoughts. • Dilemmas happen when people remain in situations or continue to engage in behaviors in order to avoid a potentially worse alternative. Oftentimes, dilemmas are the result of “either/or” and “if/then” thinking. • Snags happen when the anticipation of future consequences prevents someone from being able to make choices or engage in behaviors that they want. Sometimes a snag can come from within ― other times, it can come from those around us. With the help and guidance of a cognitive analytic therapist, a person can learn ...

• • • • • Benchmarking & Strategy • • • • • Technology Implementation • • • • • • • • • • • • • • • Managed Services • • • • • Platform Services • • • • • • • • • • • • Benchmarking & Strategy • • • • • • Technology Services • • • • • • • • • Managed Services • • • • • • Platform Services • • • • • • • • • • Benchmarking & Strategy • • • • • • • • • • • • Technology Services • • • • • • • • • • • • Managed Services • • • • • • • • • • • Platform Services • • • • • • • • • • • • • • • Benchmarking & Strategy • • • • • • • • Technology Implementation • • • • • • • • Managed Services • • • • • • • • • • • • • Alexander Ring Senior Manager Analytics Practice Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data. With a This poses several questions: Is cognitive analytics right for my business? How do we use the technology in practice? What kind of competitive advantage will we gain? What KPIs can we drive? Let us explore the what, why, and how of cognitive analytics. As mentioned, cognitive analytics applies human-like processing to datasets. This helps businesses uncover hidden patterns and correlations in their data ...

To provide context and uncover answers buried in massive amounts of information, cognitive computing combines a variety of applications. The use of What is cognitive analytics? Everyone attempts to find an answer to the issue of what cognitive analytics are, as well as the question of what intelligent technologies are. Everyone working in the IT industry realized that artificial intelligence was only getting started at the time and that there was much more to come. And that is exactly what happened when Analytics with human-like intellect is what cognitive analytics is. This might involve comprehending a sentence’s context and meaning or, given a lot of information, identifying certain items in a picture. A cognitive application can get better over time since cognitive analytics frequently incorporates machine learning and artificial intelligence technologies. Simple analytics are unable to uncover certain linkages and patterns that Predictive analytics, which uses data from business intelligence to create predictions, includes certain aspects of cognitive analytics. Fundamentals of cognitive analytics Making sense of the These conclusions lead us to data analytics, which includes descriptive analytics. Both prescriptive analytics and predictive analytics are ten years old, as we already know. These technologies have helped several intelligent technologies gain traction today. The Artificial Intelligence Conference, which was conducted at Dartmouth College in 1956, made a ...

With its ability to learn, draw conclusions, and identify obscure associations in real time, an emerging breed of powerful analytics transcends the limitations of traditional data management and analysis. For the first time in computing history, it is possible for machines to learn from experience and penetrate the complexity of data to identify associations. Known collectively as cognitive analytics, these innovations are inspired by the way the human brain processes information, draws conclusions, and codifies instincts and experience into learning. Rather than depending on predefined rules and structured queries to uncover answers, cognitive analytics relies on systems that draw from a wide variety of potentially relevant information and connections to generate hypotheses. It expresses possible answers as recommendations, and includes the system’s own ranking of how confident it is in their accuracy. This process differs markedly from traditional analysis in that as more data is fed into a machine learning system, the system learns, which results in higher-quality insights and more accurate hypotheses. The real value of cognitive analytics lies in its ability to process and understand exploding volumes of data in real time—including data that may contain wide variations of format, structure, and quality. It forms context-based hypotheses by exploring massive numbers of permutations of potential relationships, of influence, and causality, which generates conclusions unco...

The majority of data that organizations deal with is unstructured. Making sense of it—to make it available for your business priorities, namely, for decision making—is beyond our human capacity to do so at the scale of our information. o reveal context and find answers hidden in large volumes of information. If you’re looking to apply intelligent technologies in your business, cognitive analytics is a great place to start. In this post we answer the question: what is cognitive analytics? Since the now infamous cognitive software platforms and applications will grow to about $16.5 billion, up from $1.6 billion in 2015. Intelligent technologies are uniquely positioned to address the new enterprise data reality of high volume, multi-source, primarily text-driven information. According to IDG’s “ Big Data and Analytics: Insights into initiatives and strategies driving data investments, 2015”, enterprises that adopt data-driven projects use primarily unstructured data sources such as customer databases, email, transactional data, worksheets and Microsoft Word documents. For many organizations, however, this is just the tip of the iceberg in terms of the available resources. Open source information available on the internet such as regulatory and patent information, census data and social media posts are a valuable part of the information ecosystem. Add in Internet of Things type data from sensors and you have a level of complexity that is both a challenge and an opportunity. Th...

What is Cognitive Analytics and what are intelligent technologies? After Artificial Intelligence took its first breath in the world, everybody knew there was more to come. And this is exactly what happened! Cognitive Analytics was a technology built to bring all the data sources to the analytics processes. You can think of it as your brain weighing the costs and benefits of an action, after recollecting each and every piece of information about this decision. Just how the brain would know the context of every piece of information is amazing, Cognitive Analytics takes account of all kinds of data in terms of its full context too. Table of Contents • • • • • • • What is Cognitive Analytics – Basics Breaking down the terms of Cognitive Analytics – Cognitive or Cognition refers to mental processes that are carried out by our brain and Analytics is the computational analysis of data. As cognition relates to the human mind, Cognitive Analytics uses human-like intelligence as its base and combines AI, Machine Learning, semantics, and deep learning to compute data. Organizations all around the world, face the issue of making sense of the data that is mostly unstructured. As the human capacity to deal with such a vast amount of data is near impossible, Cognitive Computing steps into the picture. With Cognitive Computing, businesses get the luxury of using a wide variety of applications to infer the contexts of their data and find solutions from an extensive volume of information. I...

Over the years, data analytics has played a key role in corporate decision-support systems. Data-driven information, insights, and predictions — all have contributed to the competitive edge of global business operations, making data the most prized asset of enterprises in the digital age. Cognitive Computing: The Third Era of Computing “A subfield of artificial intelligence, [which] simulates human thought processes in machines using self-learning algorithms through data mining, pattern recognition, and Natural Language Processing.” According to some experts, cognitive computing follows the tabular systems of the 1900s and the programmable systems of the 1950s. Cognitive computing ends up as a result of years of research in cognitive science and computer science, bringing the human brain closer to the computer brain. What Everyone Should Know About Cognitive Computing Cognitive Computing Demystified: The What, Why, and How Cognitive computing extends the capabilities of traditional analytics to a level where very complex BI or statistical tasks become relatively easy. For example, Watson Analytics uses cognitive computing to make complex analytics procedures simple. Cognitive Analytics — Combining Artificial Intelligence (AI) and Data Analytics The general expectation from cognitive analytics tools is that over time, they will continuously learn from data and human-machine interactions and become smarter. The goal of cognitive analytics is to blend traditional analytics te...