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
Artificial intelligence (AI, also machine intelligence, MI) is intelligence exhibited by machines, rather than humans or other animals (natural intelligence, NI).
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.
Brand awareness
Brand awareness refers to the extent to which customers are able to recall or recognise a brand.
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

Artificial intelligence (AI, also machine intelligence, MI) is intelligence exhibited by machines, rather than humans or other animals (natural intelligence, NI). In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2]

The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip "AI is whatever hasn't been done yet."[3] For instance, optical character recognition is frequently excluded from "artificial intelligence", having become a routine technology.[4] Capabilities generally classified as AI, as of 2017, include successfully understanding human speech,[5] competing at a high level in strategic game systems (such as chess and Go[6]), autonomous cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data.

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism,[7][8] followed by disappointment and the loss of funding (known as an "AI winter"),[9][10] followed by new approaches, success and renewed funding.[11] For most of its history, AI research has been divided into subfields that often fail to communicate with each other.[12] However, in the early 21st century statistical approaches to machine learning became successful enough to eclipse all other tools, approaches, problems and schools of thought.[11]

The traditional problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects.[13] General intelligence is among the field's long-term goals.[14] Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, neural networks and methods based on statistics, probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience, artificial psychology and many others.

The field was founded on the claim that human intelligence "can be so precisely described that a machine can be made to simulate it".[15] This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by myth, fiction and philosophy since antiquity.[16] Some people also consider AI a danger to humanity if it progresses unabatedly.[17]

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.[18]

Machine Learning

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed.[1][2][verify]

Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM[3]. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence,[4] machine learning explores the study and construction of algorithms that can learn from and make predictions on data[5] – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions,[6]:2 through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach,[7] optical character recognition (OCR),[8] learning to rank, and computer vision.

Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining,[9] where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning.[6]:vii[10] Machine learning can also be unsupervised[11] and be used to learn and establish baseline behavioral profiles for various entities[12] and then used to find meaningful anomalies.

Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.[13]

According to the Gartner hype cycle of 2016, machine learning is at its peak of inflated expectations.[14] Effective machine learning is difficult because finding patterns is hard and often not enough training data is available; as a result, machine-learning programs often fail to deliver.[15][16]

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Key considerations of AI, IoT and digital transformation
  –  January 13, 2018
It is the Internet of Things, but with an enterprise angle. Take that to mean industry vertical applications, development ecosystems, product design, hardware, deployment and more. Artificial intelligence, the internet of things and digital transformation ...
DeepBrain Chain, the First Artificial Intelligence Computing Platform Driven by Blockchain
  –  January 13, 2018
SAN FRANCISCO--(BUSINESS WIRE)--DeepBrain Chain is an Artificial Intelligence Computing Platform driven by ... DeepBrain was awarded First Prize in the Enterprise Sector of the SMP First Evaluation of Chinese Human-Computer Dialogue Technology when more ...
Spotlight: Magnet Forensics offers digital forensic tools that help investigators save time and provide more accurate case resolutions
  –  January 12, 2018
Magnet Forensics is very much about being a company that empowers law enforcement, military, government and private enterprise in their quest ... so we took a look at Artificial Intelligence. We asked how we could train the software to understand the ...
Microsoft Gets Price-Target Increase On Strength In Artificial Intelligence
  –  January 12, 2018
As its stock hit a record high Friday, Microsoft's (MSFT) price target was raised on the view that its products and initiatives around artificial intelligence are undervalued ... and implementing AI services in the enterprise." Bracelin also raised ...
5 technology trends affecting GRC — and how to navigate them effectively
  –  January 12, 2018
Today’s enterprise must reevaluate their traditional GRC practices ... If big data is the challenge, artificial intelligence (AI) may be part of the solution. AI, and particularly a subset of AI known as machine learning, allows enterprises to analyze ...
DX Newsbyte: Jahia Taps Former Sitecore Exec as New CEO, and Other News
  –  January 12, 2018
He also served as executive vice president of FAST, an enterprise search provider that was acquired ... which provides Account-Based Marketing (ABM), has announced the launch of its artificial intelligence-powered Conversion Solution, aimed to help ...
Robo-Advisers Are Coming to Consulting and Corporate Strategy
  –  January 12, 2018
This makes corporate strategy an enormous and untapped prize for “robos” and “AI-enabled” expert advice across the entire enterprise ... support are all fields that can benefit from artificial intelligence according to McKinsey’s recent research.
JubiAI Reports Future Of Digital Transformation: Large-Scale Conversational Interfaces And Bots
  –  January 12, 2018
This is called a 'chatbot' and the way Artificial Intelligence is exploding ... customers will manage 85% of their relationship with any enterprise without interacting with a human. Other research says that by the end of 2017, only about one-third ...
Krambu Releases Cryptocurrency Mining Platform, Blockchain Hosting and Supercomputing Services
  –  January 12, 2018
Krambu's custom blockchain hosting provides enterprise-grade, tailor fit solutions for ... Krambu's supercomputing department builds next-generation servers for the artificial intelligence and scientific research markets. The new cryptocurrency mining ...
2018 Tech Trends and Predictions
  –  January 12, 2018
Enterprise Focus on 'Innovation Accelerators' Consumers ... investment focus toward the 'Innovation Accelerators,' such as the Internet of Things, artificial intelligence and cognitive computing, and robotics." That's according to IDC's Eileen Smith ...
10 Charts That Will Change Your Perspective On Artificial Intelligence's Growth
  –  January 12, 2018
The entire Scopus database contains over 200,000 (200,237) papers in the field of Computer Science that have been indexed with the key term “Artificial Intelligence ... Global revenues from AI for enterprise applications is projected to grow from ...
CIOs' Evolving Role: Think Revenue and Strategy
  –  January 12, 2018
CFOs and COOs on ways to improve and change their enterprise. CIO’s can become “value yodas,” he added. Many CIOs have “dipped a toe” into machine learning, artificial intelligence, blockchain and augmented reality, but “they need to figure out ...
In the era of Artificial Intelligence, Sahaj makes IT simple
  –  January 12, 2018
Worldwide IT spending is projected to total $3.7 trillion in 2018, which would be an increase of 4.3 percent from the estimated spending of $3.5 trillion in 2017, according to the latest forecast by Gartner Inc. Enterprise software and IT services continue ...
Jitterbit Partners with Artificial Intelligence Experts Humantelligence to Infuse AI-Driven Culture Analytics into Human Capital Management Systems
  –  January 12, 2018
EIN News/ -- Humantelligence uses artificial intelligence (AI) to ensure applicants will meld well with a company’s unique culture, streamlining the recruiting process and improving recruiting outcomes. The cloud-based solution uses the world’s most ...
Find out the new technology growing in video live streaming solution market and know the market driving factors insights shared in detailed report
  –  January 11, 2018
producing critical intelligence to support enterprise strategic goals. Through video analytics, enterprises can club Artificial Intelligence (AI), machine learning, and cognitive technologies to extract actionable insights from the video files.
The Software-Defined Future of the Enterprise Data Center
  –  January 11, 2018
If the IT architect or data center team can’t know in detail what the next revolution will look like—be it in machine learning, artificial intelligence or a field ... viable SDDC entry points for the enterprise, as well as for IT professionals who ...
PointSource, a Globant Company, Releases New Data Showing The Implication of AI investments and Consumers' Current Relationship With Chatbots
  –  January 11, 2018
Released today, the "Finding Common Ground Between Consumers and Artificial Intelligence" report surveyed 1,000 ... Successful digital strategies combine enterprise expertise and user engagement knowledge. PointSource blends the creative energy of an ...
2018 Top 10 Emerging Threats: Number 7: Automation meets artificial intelligence
  –  January 11, 2018
Among these growing trends is an ongoing push to bring automation to as many parts of the IT landscape and business processes as possible and an expansion of artificial intelligence ... which are primarily enterprise-size companies - there is still ...




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