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pintadachica

Are you AI-First? - The AI Company - 0 views

www.autolearn.ai/...2017-8-16-are-you-ai-first

autolearn first artificial intelligence Ai company digital strategy

shared by pintadachica on 11 Nov 18 - No Cached
  • pintadachica on 11 Nov 18
     
    Are you AI-First? By editor Posted October 13, 2018 In Artificial Intelligence, Digital Strategy, Technology & Design 0 An AI-First company is an enterprise that has transformed to believe and understand the incredible and disruptive potential of Artificial Intelligence. Such an enterprise not only sees the value but can see the destructive impact of being left behind. An AI-First Company understands that it might not know all the answers but realizes that it needs to seek out a path forward with AI or risk being marginalized. Key Characteristics of an AI-First Company A-First companies might not be any different from their previous form but think and act differently. Here are some key characteristics of such companies. Approach to Problems and Planning An AI-First company evolves its approach to problems. AI-First companies realize that determining the existence of a problem and selecting the most consequential problems is a function of data and analytics. An AI-First company invests in building predictive mechanisms that can signal current or upcoming problems including the severity and priority of these problems. Building these predictive mechanisms becomes the first step in determining how and when to prepare for problems or upcoming issues. In addition, these companies leverage news and information that is generated inside and outside the enterprise as it is generated and ensure that their employees and customers have access to the insights embedded in the news and information. Approach to Products and Product Development An AI-First company understands how a prediction or classification could help them deliver a better solution to a problem faced by their customers and how their existing products can be adapted or new products created that change behavior based on the predictions and classifications. Enterprises that understand the power of AI ensure that data scientists come part of the core product ideation and development team with a heavy infl
pintadachica

Why Is Sentiment Such A Big Deal? - The AI Company - 0 views

www.autolearn.ai/...2017-8-3-sentiment

autolearn artificial intelligence AI company sentiment digital strategy technology

shared by pintadachica on 07 Jan 19 - No Cached
  • pintadachica on 07 Jan 19
     
    Sentiment, Sentiment Analysis, Sentiment Tracking have become a hot topic with multiple 'AI' startups focussing on providing sentiment driven insights to enterprises. The number of such startups points to the potential that enterprises see in Sentiment analysis and the impact it has on how the enterprise plans, operates, executes and delivers value. Sentiment Analysis is process of extracting sentiment (emotion or feelings) captured in signals that are embedded in various types of media such as print, text, audio, video, images etc. For example, if a reporter submits a report on a particular enterprise, the sentiment embedded in the article can point to how excited, worried, upbeat or impassive they might are about the enterprise. This sentiment can be then used by the enterprise to understand the perception about the enterprise that the external market carries and whether that perception is improving, degrading or staying unchanged. This insight can be used by the enterprise to improve their go to market plans, change their PR strategy or even go deeper and change their product strategy. Sentiment Analysis Is Not New The tracking, measurement and use of Sentiment is not a new scenario. Enterprises have been leveraging the output of sentiment analysis for a long time. User surveys, focus groups, market research, customer interviews etc. are all examples of generating data to perform and track sentiment. Similarly, influencer marketing through association with influencers or events or organizations with a certain perception or sentiment associated with them is a common technique to improve the enterprise's own sentiment. Sentiment Analysis and strategizing based on the analysis is a common and required function for any enterprise. Sentiment Analysis Using Artificial Intelligence With the advent of Artificial Intelligence (AI), enterprises now have another technique in their kitty to understand how they are perceived in the market and how that perception i
cydo_media

Artificial Intelligence Marketing: What does the future hold for us? - 0 views

cydomedia.com/ificial-intelligence-marketing

Artificial Intelligence

shared by cydo_media on 20 Oct 22 - No Cached
  • cydo_media on 20 Oct 22
     
    We often hear AI is the future, but we never truly understood the real domains in which it's playing a vital role. Marketing is essential for any business, and artificial intelligence marketing can be the revolution we all have been looking for. Artificial Intelligence is a big domain and covers different industries around it. The future is in the hands of technology, and we can even witness this with the ongoing trends as well.
pintadachica

Skateboarding, The AI Company and the Autolearn Boost - The AI Company - 0 views

www.autolearn.ai/...en-skateboarding-autolearns-ai

artificial intelligence innovation technology digital strategy AI company

shared by pintadachica on 09 Jan 19 - No Cached
  • What is common between skateboarding and learning to skateboarding & autolearn.ai’s AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don’t, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the “learn” the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company’s platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn’s SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost.  With The AI Company’s AI, you are able to reduce what traditionally in data science would take upwards of a year and multiple data scientists to mere days through the automated training, selection and deployment of the best AI models out of 1000s of variations generated in parallel by AutoLearn. Not only do you reduce the time taken to go live with AI, because of the automation and the efficiency maximizer in AutoLearn’s AutoAI, you are guaranteed the best possible AI model. This is not guaranteed in a manually driven data science practice!
  • pintadachica on 09 Jan 19
     
    What is common between skateboarding and learning to skateboarding & autolearn.ai's AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don't, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the "learn" the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company's platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn's SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost. With The AI Company's AI, you are able to reduce what traditionally in data
bhushansingh

Adopting a German Shepherd: What You Need to Know - 0 views

www.alcazar.in/...shepherd-what-you-need-to-know

German Shepherd Puppies Dog

shared by bhushansingh on 20 Jul 24 - No Cached
  • bhushansingh on 20 Jul 24
     
    Adopting a German Shepherd dog is a great decision, but it is also a great way to bring an intelligent and loyal friend into the family. German Shepherds are known for their bravery, intelligence, and adaptability. Before bringing home, there are a few things you should know to ensure that you and your new pet enjoy a happy and healthy life together.
pintadachica

Beware of the integration! - The AI Company - 0 views

www.autolearn.ai/...-7-4-beware-of-the-integration

autolearn artificial intelligence products technology AI company tech innovation integration software digital strategy

shared by pintadachica on 13 Dec 18 - No Cached
  • pintadachica on 13 Dec 18
     
    Enterprises have to constantly decide, at every step in their digital journey, should they build or buy. This question often is posed as a critical, do or die decision and the answer varies on a case by case basis. Building can be expensive, take longer but offers future proofing and more dependability whereas buying offers a faster time to market, less risk and accountability forced through contractual terms. However, a key point often overlooked is the cost of integration. Integration can be required at multiple levels. Vendor Applications Vendor applications typically require a two-way connection between the enterprise systems and the vendor application. The application requires incoming data and information from somewhere in the enterprise technology stack and an output stream of information back into the enterprise at one or more points in the stack or workflow. Vendor Platforms Vendor provided platforms typically have similar integration requirements as Vendor applications requiring an incoming data & information connection and an outgoing information connection into the enterprise process, workflow, platform or product. Application-To-Application Application to Application integrations where an application needs to be connected to another application to either provide data or signals to enable the downstream application to create value can be seemingly deceptive. Application-To-Application integration costs can grow at O(n^2) as potentially, worst case, each application could be connected with every other application. Enterprise Stack Fragmentation The problem of integration is exacerbated by the fragmentation of the enterprise at the organization level. This problem is also known as "Shadow IT" is driven by superficially differing needs of multiple lines of businesses in an enterprise. Shadow IT typically leads to multiple instances of similar technology stacks that cause data, compute and information to be silo'd. Stack fragmentation and its
pintadachica

The Long & Short Of An AI Strategy - The AI Company - 0 views

www.autolearn.ai/...ort-term-vs-long-term-strategy

auto learn disital strategy term AI company artificial intelligence

shared by pintadachica on 11 Nov 18 - No Cached
  • pintadachica on 11 Nov 18
     
    Much has and needs to be said about an enterprise's AI strategy. Artificial Intelligence or AI is considered a fundamentally disruptive technology similar to the steam engine, electricity etc, a technology that will be pervasive and absolute in its impact on the world and its inhabitants. The ability to find hidden patterns to predict the future or detect a behavior has massive implications across the world, in every industry, sector, and domain. When faced with this realization, enterprise's can find themselves stuck, paralyzed and unsure about how to proceed. The field of AI is decades old already and the early success stories have been practicing AI for multiple years already with the tech industry leading the way. How can an enterprise that has no experience and competency in this area let alone lead the technology or even leverage it appropriately to drive business value? When developing the AI strategy, two ideas are paramount. First, this a fundamentally disruptive technology and the enterprise will need to establish it as a core competency for the foreseeable future. Not doing so will not be an option. Second, a long-term plan to success is superseded by the need to drive quick wins and small successes not only to build confidence but use real-world experience to develop and hone that skill. The Short-Term AI Strategy The short-term AI strategy should focus on driving immediate business value through enhanced customer experiences that leverage any field of AI be it machine learning, deep learning, natural language processing etc. Driving the usage and deployment of AI in front of an end user making them smarter, productive and better informed can pay rich dividends by not only helping the enterprise can real-world experience, but it can also give a perception boost to the company as being innovative and cutting edge. However, most importantly, this can highlight and promote the success and potential of AI in the enterprise and encourage a snowball eff
pintadachica

APIS ARE DEAD, LONG LIVE APIS - 0 views

www.autolearn.ai/...is-are-dead-long-live-the-apis

autolearn artificial intelligence innovation digital strategy transformation tech AI

shared by pintadachica on 13 Dec 18 - No Cached
  • We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution.
  • pintadachica on 13 Dec 18
     
    Modern, RESTful APIs are not considered standard, table stakes and expected out of any new project, effort, application, system, service or product. It has become so normal to talk about developer interfaces, developer adoption, application development and innovation in the same breath as APIs that a distinct effort to build APIs for a new product or service seems out of place and abnormal. APIs are the defacto standard of app development. So where do we go from here? We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution. Innovation - Starts, and Ends with APIs All modern technologies such as Artificial Intelligence, Machine Learning, ChatBots, Analytics, BlockChain etc. begin and end their stories with APIs. APIs are what enables the communication between front-end user interfaces and the backend technology services. All new machine learning capabilities offered out of the big four tech companies have seen the light of day through APIs. Intent & Sentiment extraction, Topics, Categories, Summarization, Image Recognition, Entity Extraction etc. are all capabilities powered by Machine Learning, Natural Language Processing that is ultimately being delivered as APIs to application developers. Similarly, ChatBots are typically designed to get the user entered text, use an intent API to determine intent and then use a service API to respond to the user conversationally or with a service. Clouds - Multi-Cloud, Hybrid Cloud As the big three cloud providers grow their market share and attempt to attract attention, increasingly, enterprises need to think about how they minimize their risk by building in the flexibility to switch their cloud provider if and when they need. In addition, hybrid architectures or a cloud migration
bcm456

Seven Types of Artificial Intelligence Use In Dubai - Best UAE Digital Agency - 0 views

bestuaedigitalagency.com/-artificial-intelligence-dubai

blog blogging creative Marketing safety seo company digital wordpress AI

shared by bcm456 on 19 Jul 19 - No Cached
  • bcm456 on 19 Jul 19
     
    Artificial Intelligence is presumably the most perplexing and astonishing manifestations of humankind yet. What's more, that is dismissing the way that the field remains to a great extent unexplored, which implies that each astonishing AI application that we see today speaks to only the tip of the AI chunk of ice, so to speak. While this reality may have been expressed and repeated on various occasions, it is still difficult to thoroughly gain viewpoint on the potential effect of AI later on. The purpose behind this is the progressive effect that AI is having on society, even at such a generally beginning period in its advancement.
pintadachica

Viodyne | Automatic Upper Arm Blood Pressure Monitor - 0 views

viodyne.com/...per-arm-blood-pressure-monitor

health products blood pressure monitor BP automatic viodyne

shared by pintadachica on 27 Sep 23 - No Cached
  • pintadachica on 27 Sep 23
     
    $35.95 Only: Link to Shop: https://viodyne.com/product/automatic-upper-arm-blood-pressure-monitor/ Large LED high definition display one touch operation upper arm blood pressure monitor with irregular heartbeat detection, body movement detection, self-check cuff positioning, intelligent blood pressure measurement, 2 users and 120 memory sets each. Easy One Touch Operation Advanced touch screen with one touch to start measuring. LED High Definition Large Display High definition LED display with large and clear easy to read numbers while measuring. Backlit display provides the ability to measure in dark environments. Intelligent Blood Pressure (BP) Measurement Master Core double filtering algorithms using smart chips for more accurate measurements. Irregular Heartbeat (IRB) Detection Automatically provides an alert when heart rhythm disturbances are detected. Adjustable Cuff Comfortable adjustable cuff fits upper arms with a circumference from 8.7" to 16.5". Body Movement Detection Provides an alert when arm or related movement occurs. 2 Users and 120 Memory Sets Each Each user can separately monitor and recall their last 120 readings. Self-Checks Cuff Positioning Automatically Powers Off WHO Classification Chart 4 AAA Batteries Included
pintadachica

Do you have a complete, comprehensive, single version of the truth about your business?... - 0 views

www.autolearn.ai/...-the-truth-about-your-business

autolearn business technology innovation tech digital strategy blockhain data

shared by pintadachica on 20 Dec 18 - No Cached
  • pintadachica on 20 Dec 18
     
    One of the key milestones on the Digital Journey starting with a Digital Strategy, Digital Transformation and then sustaining on Digital Innovation is the point where the enterprise reaches a point of data maturity powered by a single, organization wide, consistent version of the truth including the state of the customers and the state of the business and the state of the employees. This point is critical as it becomes the launchpad for several, forward looking initiatives including Artificial Intelligence, ChatBots, Blockchain etc. "Complete" A Complete version of the truth ensures that the following criteria is met: Entity Pivot The key entities that need to be tracked to generate a complete, comprehensive version of the truth are the following Employee Employees, regardless of customer facing or not, need to be understood including where they excel vs. struggle and where their struggle impact the customer experience. Key information about employees that should be tracked is what the employees are working on, how productive they are and how often they introduce delay and errors in business processes. Business Business visibility requires that the enterprise be able to track key metrics such as customer lifetime value, customer attribution, customer acquisition cost and customer satisfaction. In addition, the stage of the customer ranging from prospect to commit to paying customer to abandoned needs to be tracked. In addition, the customer's quality of service and experience needs to be tracked and understood. Customer The most critical of the three is the understanding of the customer. Customer KPIs have a direct impact on and are completely impacted by the Business and Employee KPIs. It is extremely important to understand how customers are searching for, discovering, learning, understanding, using and continuing to use the product and services delivered by the enterprise. In addition, it is important to understand what capabilities drive what kin
pintadachica

6 Ways Lean IT Can Help Enterprises - Creative Safety - 0 views

blog.creativesafetysupply.com/ways-lean-can-help-enterprises

lean ways blog creative safety

shared by pintadachica on 01 Aug 18 - No Cached
  • pintadachica on 01 Aug 18
     
    Lean has been helping companies streamline their production, eliminate waste, and generally improve the way things are done for many years. Initially, the concepts behind lean were primarily used only in companies and facilities that were directly involved with physical product creation, such as manufacturing plants, factory floors and things of this nature. However, over time the lean methodologies have been adapted and implemented in almost every other type of business, ranging from health care to information technology, and many more. When done properly, lean can help improve virtually any work environment to help eliminate waste, improve communication, and to help ensure that the products or services being developed are indeed something customers will be interested in. For instance, when working in an information technology environment, it is important to be able to understand how lean strategies can be implemented, and why they are so important. The following are some of the most significant reasons why lean IT strategies should be taken seriously by any company that uses technology in their business (which is almost all of them!). Lean Promotes Ownership One of the things about lean strategies in an IT environment is that virtually every task completed is owned by an individual. Even if a person does not do all the work for a particular project, he or she will be directly responsible for overseeing it. This creates a sense of ownership, which can help in a variety of ways. It will give other teams a single point of contact for obtaining updates, providing feedback, or requesting changes. This will also allow the owner of a specific project to drive the progress directly, rather than having to rely on large committees or other types of groups to receive pertinent information. It is important to note that just because one person owns a process or project does not mean that he or she can simply dictate things to other groups. Instead, that person is there to
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