Introduction to Weave

Introduction to Weave

 
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Weave is a modern, visual and intelligent information medium that empowers users with seamless information discovery. With Weave, highly visual and engaging information intelligently and contextually comes to users where and when it makes sense, rather than forcing users to know to search and then to repeatedly search. And businesses gain a new publishing platform and format that makes their content more discoverable, usable, engaging and measurable – thereby reducing their costs of customer acquisition, engagement and retention, and providing strong returns on their fast-growing publishing investments.

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Artificial intelligence
 
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.
 
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Discoverability
 
Discoverability is the degree to which of something, especially a piece of content or information, can be found in a search of a file, database, or other information system.
 
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Brand awareness
 
Brand awareness refers to the extent to which customers are able to recall or recognise a brand.
 
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Customer engagement
 
Customer engagement is a business communication connection between an external stakeholder (consumer) and an organization (company or brand) through various channels of correspondence.

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Artificial Intelligence

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[1]

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[2] A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."[3] For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology.[4] Modern machine capabilities generally classified as AI include successfully understanding human speech,[5] competing at the highest level in strategic game systems (such as chess and Go),[6] autonomously operating cars, intelligent routing in content delivery networks, and military simulations.

Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and humanized artificial intelligence.[7] Analytical AI has only characteristics consistent with cognitive intelligence; generating cognitive representation of the world and using learning based on past experience to inform future decisions. Human-inspired AI has elements from cognitive and emotional intelligence; understanding human emotions, in addition to cognitive elements, and considering them in their decision making. Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions with others.

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism,[8][9] followed by disappointment and the loss of funding (known as an "AI winter"),[10][11] followed by new approaches, success and renewed funding.[9][12] For most of its history, AI research has been divided into subfields that often fail to communicate with each other.[13] These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),[14] the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences.[15][16][17] Subfields have also been based on social factors (particular institutions or the work of particular researchers).[13]

The traditional problems (or goals) of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects.[14] General intelligence is among the field's long-term goals.[18] Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics. The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields.

The field was founded on the claim that human intelligence "can be so precisely described that a machine can be made to simulate it".[19] This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence which are issues that have been explored by myth, fiction and philosophy since antiquity.[20] Some people also consider AI to be a danger to humanity if it progresses unabated.[21] Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.[22]

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.[23][12]

Machine Learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.[1][2]:2 Machine learning algorithms are used in the applications of email filtering, detection of network intruders, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.[3][4] In its application across business problems, machine learning is also referred to as predictive analytics.

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The AI Eye: HPE Expands Hybrid Cloud Portfolio Including AI Operations and NICE Actimize Ranked Tech Leader in New Report
  –  June 19, 2019
Craig Costigan, CEO, NICE Actimize, commented: "We have had a strong year in enterprise fraud innovation ... deal tracker and advancements in artificial intelligence is an original content brand of Investorideas.com
The AI Eye: HPE (NYSE: $HPE) Expands Hybrid Cloud Portfolio Including AI Operations and NICE (Nasdaq: $NICE) Actimize Ranked Tech Leader in New Report
  –  June 19, 2019
Craig Costigan, CEO, NICE Actimize, commented: "We have had a strong year in enterprise fraud innovation ... deal tracker and advancements in artificial intelligence is an original content brand of Investorideas.com
Spreading Artificial Intelligence Across Storage
  –  June 19, 2019
Over the last couple of years, Hewlett Packard Enterprise has added to its already broad ... a key technology that leverages artificial intelligence techniques to drive greater insights and automation around the huge amounts of data enterprises are ...
CEO Tech Talk: How Otter.ai Uses Artificial Intelligence To Automatically Transcribe Speech To Text
  –  June 19, 2019
Our system is actually much more challenging because it is trying to listen to the conversation between multiple people, it could be three or could be five or 10 in an enterprise meeting ... JBS: How is artificial intelligence (AI) used in Otter?
Workato Recognizes A New Generation Of Enterprise Automation Innovators
  –  June 19, 2019
First annual customer awards program spotlights companies with best applications of automation in Artificial Intelligence ... the vast potential of enterprise automation. Winners include: Broadcom ...
Prescriptive Analytics vs. Artificial Intelligence
  –  June 19, 2019
Artificial Intelligence (or AI) is the application of mathematics ... necessary to drive quality customer interactions at scale – all without the need for enterprise support or an army of data scientists. Also Read: Why Every CMO Should Leverage Data ...
Hewlett Packard Enterprise explains Google Cloud and Equinix strategy
  –  June 19, 2019
Hewlett Packard Enterprise (HPE) has made new announcements about ... HPE became part of Compute Express Link to accelerate rapidly growing data workloads such as artificial intelligence and machine learning, rich media services, high-performance computing ...
HPE explains Google Cloud and Equinix strategy
  –  June 19, 2019
Hewlett Packard Enterprise (HPE) has made new announcements about ... HPE became part of Compute Express Link to accelerate rapidly growing data workloads such as artificial intelligence and machine learning, rich media services, high-performance computing ...
Microsoft adds new PowerPoint features that uses artificial intelligence to make you a better presenter — and keep you on-brand at all times (MSFT)
  –  June 18, 2019
Back in 2015, Microsoft first launched PowerPoint Designer, which automatically suggests several possible slide designs, as suggested by artificial intelligence. Microsoft says that users have picked over a billion of these Designer-generated PowerPoint ...
Gigster Accelerates Digital Transformation With Innovative Enterprise Customers and New Key Execs
  –  June 18, 2019
In healthcare, Gigster is collaborating with GlaxoSmithKline to leverage artificial intelligence in key applications ... To support enterprise customers, Gigster has formed a far-reaching alliance ...
Genie Enterprise Launches Genie, a Next-Generation Automated Cooking System with Unprecedented Convenience, Taste and Nutrition
  –  June 18, 2019
Future Food-Tech 2019– Genie Enterprise, a privately held company that’s ... A compact, insta-food robotic cooking system with patented artificial intelligence (AI) and machine learning (ML) to cook and bake organic, delicious, nutritious and ...
OpsRamp Presents Keynote and More on Artificial Intelligence and Hybrid Cloud Monitoring as Bronze Sponsor at Cloud Expo in Santa Clara
  –  June 18, 2019
But when it comes to artificial intelligence, machine learning ... and optimizes services through automation and integration with ITSM and DevOps tools. Now enterprise IT can deliver IT operations as a service and power a digital operations command ...
Enterprise Artificial Intelligence Market 2019 Size | Global Industry Analysis, Segments, Top Key Players, Drivers and Trends to 2024
  –  June 12, 2019
Jun 12, 2019 (Heraldkeeper via COMTEX) -- New York, June 12, 2019: Market Research Engine has published a new report titled as "Enterprise Artificial Intelligence Market Size By Deployment (Cloud , On-Premises), By Service (Professional Service, Managed ...
VIDIZMO's Artificial Intelligence bridges the gap between unstructured and structured video data like never before.
  –  May 30, 2019
Today, VIDIZMO (http://www.vidizmo.com), a live and on-demand video streaming platform & portal solution, recognized in Gartner Magic Quadrant for Enterprise Video Content Management, announced its new Artificial Intelligence (https://www.vidizmo.com ...
Hewlett Packard Enterprise - On The Acquisition Trail
  –  May 28, 2019
Hewlett Packard Enterprise Co. (HPE) has made all the right moves ... and computing (particularly high-performance computing, to leverage artificial intelligence and machine learning), HPE stands to be a key beneficiary. HPE has also made prudent ...
Volume and quality of training data are the largest barriers to applying machine learning
  –  May 28, 2019
IDC predicts worldwide spending on artificial intelligence (AI) systems will reach $35.8 billion in 2019, and 84% of enterprises believe investing in AI will lead to greater competitive advantages (Statista). However, nearly eight out of 10 enterprise ...
What is Artificial Intelligence?
  –  May 24, 2019
These range from enterprise analytics programs and digital assistants like Siri and Alexa to autonomous vehicles and facial recognition. Artificial intelligence is an umbrella term that refers to any and all machine intelligence. However, there are several ...
“Enterprise Artificial Intelligence (EAI) Market”
  –  May 22, 2019
Enterprises hold a prominent market value considering their services and solution created for different functions and business uses. These enterprises largely deploy technologies such as machine learning, deep learning, automated data science, predictive ...
Building a Modern Enterprise with Artificial Intelligence
  –  May 15, 2019
For today’s enterprises, artificial intelligence isn’t just a good idea. It’s becoming a new imperative. To stay competitive and relevant in their industries, enterprises increasingly need to become AI-driven. AI is a new key to improving business ...
SAP software upgrade encourages artificial intelligence and robotics
  –  May 6, 2019
In a series of updates to its enterprise resource planning (ERP) software platform, German technology vendor SAP AG has made it easier to customize apps and to add artificial intelligence (AI) and robotics to logistics processes, the company said today.
Artificial Intelligence and Algorithms: 21st Century Tools for Racism
  –  April 30, 2019
Algorithms are inextricably linked with Artificial Intelligence (AI) and Big Data ... In an emailed statement to Black Enterprise, she called Nkonde’s statements, “factually inaccurate.” “We have not built and do not have any plans on building ...
Enterprise Artificial Intelligence (EAI) Market 2019 Global Trends, Size, Segments, Emerging Technologies and Industry Growth by Forecast to 2023
  –  April 5, 2019
The report on the global Enterprise Artificial Intelligence (EAI) market covers historical market trends, current market dynamics, market valuation by segmentation as well as region, key player’s market share analysis, competitive landscape and supply ...

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