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Cognitive Computing & AI

Artificial Intelligence Solutions power machines to copy intelligent human behavior and are in everything--from your smartphone to (maybe) that voice on the other end of the phone. See below for the latest AI news, trends, and solutions.

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FlexiCapture feeds data into robotic process automation, business process management, and content driven process engines Posted October 09, 2019

Cognitive/AI technologies for customer engagement are white hot. No wonder professionals, who had removed AI from their resumes, are scrambling to add it back in! Posted October 04, 2019

I am a firm believer in The 7 Habits of Highly Effective People, by Stephen Covey. If you've not read this book, it is worth the time. I mention this because my focus at BA Insight is around Covey's second habit, which is, "Begin with the end in mind." Seems simple, right? Well it is, but it's also quite rare. When approaching any enterprise search project, at any phase, I always try to come back to this idea. What is success? When are we done? What does finished look like? These are all different ways of saying, "Make sure you have goals!" Posted October 04, 2019

While interactive voice response systems (IVRs) have been invaluable in reducing contact center costs, we need to be honest: not many are delivering experiences that meet consumer expectations. It's no surprise given the rise of digital channels. Posted October 04, 2019

Enterprise search projects start with intentions to provide ‘Google for our organization' but too often fail to deliver on that promise. In our experience, these projects fail due to a lack of sustained effort and governance. The commercialization of next-generation search technologies allows you to fulfill this promise if you take a systematic approach to implementation. Posted October 04, 2019

The data, information, and analytics economy runs on well-curated, structured data. No matter your industry—having good curated data and content is critical. It's increasingly important as more data and content are generated. Intelligent tools to sift through content are more robust and at the same time, more "needy." That means modern technology platforms, systems, and even content consumers require well-structured data and content to perform well. As most artificial intelligence (AI) practitioners state—"nothing starts without good data." Posted October 04, 2019

Unstructured data, which comprises almost 80% of any enterprise's data, holds untapped value when it comes to addressing challenges and embracing opportunities. Posted October 04, 2019

AI-Powered Search Engines—referred to as "Insight Engines" by Gartner and "Cognitive Search" by Forrester—can deliver significant value to organizations these days, provided certain risks are avoided. Posted October 04, 2019

For decades, organizations have tried to unlock the collective knowledge contained within their people and systems. And the challenge is getting harder, since every year, massive amounts of additional information are created for people to share. We've reached a point at which individuals are unable consume, understand, or even find half the information that is available to them. Posted October 04, 2019

Artificial intelligence (AI) is one—if not the—key technology of our decade. Technological advances in this field are not only fundamentally changing our economies, industries and markets, but are also exerting enormous influence on traditional business practices, many of which will disappear, while others will be transformed or completely reinvented. Posted October 04, 2019

Artificial intelligence (AI) has captured the imagination of a wide variety of businesses. I have this image of CEOs in boardrooms around the globe declaring, "We must have AI! Our competitors use AI! We can't be left behind!" There might be some table-pounding associated with this scenario. There will certainly be corporate minions scurrying around to fulfill the AI dreams of their CEO. Posted October 04, 2019

The update delivers powerful new security features for highly regulated industries Posted October 02, 2019

Synthexis president Sue Feldman discusses the prevention of bias in search in this clip from the security, privacy, and ethics panel at Enterprise Search & Discovery 2018. Posted October 02, 2019

Companies are developing a software solution to help diagnose and monitor prostate cancer Posted September 26, 2019

With new enhancement for InterSystems IRIS Data Platform, application developers can now easily add automation and predictions to applications without being experts Posted September 23, 2019

AI-based text analytics system will be deployed in Biogen Japan's medical information office to help operators reply to constituent questions  Posted September 23, 2019

Serious Insights founder & principal analyst Daniel W. Rasmus spoke about KM in the age of AI and IoT at KMWorld 2018.  Posted September 23, 2019

Custom RPA bots can help clients streamline their business Posted September 20, 2019

This KMWorld webcast explores how to boost content management initiatives Posted September 20, 2019

Partnership signals Introhive's growing footprint within architecture, engineering, and construction (AEC) industries Posted September 19, 2019

Natural language understanding application for text analytics offers the fastest way for companies to get started with customer feedback analytics Posted September 19, 2019

Indico offers cognitive abilities to document-based workflows for UiPath users Posted September 18, 2019

New Nintex Workflow Generator in Nintex Promapp bridges gap between process experts and automation experts Posted September 18, 2019

Predictive modeling solutions deliver mortgage marketers accurate and cost-effective home equity and home valuations for more personalized offers and communications Posted September 17, 2019

Upgrades allow organizations time to analyze their business performance for high-level decision making Posted September 12, 2019

Now with the app updates, customers can more effectively book, ticket, change, and monitor travel Posted September 11, 2019

By taking advantage of Io-Tahoe's AI capabilities, Clearsense is able to automate its processes, reducing the resources normally required to complete the task manually Posted September 11, 2019

Lumada Manufacturing Insights optimizes machine, production, and quality outcomes for Manufacturing 4.0 Posted September 10, 2019

In a presentation at Text Analytics Forum 2018, co-located with KMWorld, Michael Upshall, UNSILO head of business development, explored machine learning as an alternative to taxonomy-based approaches. Posted September 10, 2019

Text analytics and natural language processing are not new concepts. Most knowledge management professionals have been grappling with these technologies for years. From the KM perspective, these technologies share the same fundamental purpose: They help get the right information to employees at the right time. Posted September 08, 2019

The addition of Arcadia Data's technology and expertise will accelerate insights for Cloudera customers Posted September 06, 2019

Together, a unified RPA and AI experience will be created to deliver smarter end-to-end deployment and management through a single, intuitive platform Posted September 06, 2019

Implementing AI-driven internal search can significantly impact employee productivity by improving the overall enterprise search experience. It can make internal search as easy and user-friendly as internet search, ensuring personalized and relevant results. Posted September 06, 2019

Why should you be interested in artificial intelligence (AI) and machine learning? Any classification problem where you have a good source of classified examples is a candidate for AI. Historically, optical character recognition (OCR) was a difficult problem. We have recently experienced enormous improvement in the performance of OCR because, at least in part, we have a very large collection of already classified examples. Similarly, automatic translation between languages has made tremendous advances because we have access to enormous collections of translated documents that can be used to train the classifier. Other contexts that seem to recommend themselves to machine intelligence and AI learning are concept identification in texts, entity extraction, assigning peer reviewers to submitted documents, sentiment analysis, quality evaluation, and priority assignment. Posted September 06, 2019

Look at your organization and consider the unstructured text or audio data you gather and the possible revelations it may hold. That data reflects the voices of those you serve and holds the potential to help you deliver better experiences, improve quality of care and enrich human engagement. There are powerful stories to be told from your unstructured text data. And the best way for you to find them is with natural language processing. Posted September 06, 2019

I'm entranced by old technologies being rediscovered, repurposed, and reinvented. Just think, the term artificial intelligence (AI) entered the language in 1956 and you can trace natural language processing (NLP) back to Alan Turing's work starting in 1950. Text analytics has its antecedents in data mining. Data mining itself has a long history, all the way back to Thomas Bayes, who died in 1761, and his eponymous theorem that still informs algorithms regarding inference, probability, and predictions. Posted September 06, 2019

We believe that together, Deep Learning and semantics have a significant role in the future of text analytics. For transforming unstructured content into usable data, we recommend a synergistic approach through a consistent API that addresses concerns over change management and future-proofing existing workflows. By leveraging the best of machine learning and organisational standards, there's a bright future ahead for text analytics in the STEM domain. Posted September 06, 2019

Graph databases are ideally suited for storing information about relationships among entities, for accessing diverse types of information, and for easily incorporating new information. Posted September 06, 2019

Since governmental entities aren't burdened by the financial constraints of private organizations, they have considerably greater liberty to devise new use cases for increasing the efficacy and efficiency of advanced analytics. Posted September 06, 2019

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data. Posted September 06, 2019

Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI. Posted September 06, 2019

Institutions using the Esploro solution will benefit from greater insight into the influence and reach of academic research Posted September 05, 2019

Spark NLP delivers state-of-the-art accuracy: production-grade versions of the best performing academic peer-reviewed results to date Posted September 03, 2019

New artificial intelligence (AI) solution is designed specifically to modernize the digital workplace and enrich content throughout the content lifecycle Posted August 30, 2019

Unified offering provides scholarly publishers with customizable email alerting, superior analytics. and advanced advertising functionality Posted August 29, 2019

Partnership is aimed at driving successful deployment of AI across enterprises to enhance CX Posted August 27, 2019

Nuxeo's AI enrichment framework helps customers configure any number of services to return results from third-party AI services seamlessly Posted August 27, 2019

Data privacy refers to the use and governance of personal data, including policies implemented by businesses and governments that govern the collection, sharing and use of an individual's personal information. Information privacy refers to the individual's right to exert some control over their own personal information that is collected and used by others. These two views of privacy are reflected in legislation enacted to govern organizations and, most recently, give more power to individuals. Posted August 27, 2019

"There's an ongoing paradox when it comes to privacy. On the one hand, privacy matters, and individuals want their personal information to be private. On the other hand, social media, particularly Facebook and Twitter, encourage us to share information that we might otherwise keep private." Posted August 27, 2019

In this video, M-Files' Trevor Cookson discusses the advantages of collaboration. From a digital perspective, the key requirements are to assess, surface, consider, act, and rationalize. Posted August 27, 2019
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