Skip to main content

Home/ Blog & Blogging..!!/ Group items tagged platform

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
pintadachica

Platform Commoditization: How not to get sidelined by commoditization - The AI Company - 0 views

www.autolearn.ai/...on-how-not-to-get-commoditized

technology innovation autolearn digital strategy journey platform commoditization AI

shared by pintadachica on 20 Dec 18 - No Cached
  • The Risk of Building Platforms: Cost of Marketing & Support
  • pintadachica on 20 Dec 18
     
    The cutting edge platforms for today will be the commoditized platforms of tomorrow. As the technology matures and evolves, the previous generation of technology becomes easier to build and deploy enabling a rush of vendors to capitalize on it by making it accessible to the largest possible customer base. This puts enterprises in the nontechnology sectors in an awkward position. Often not ready to consume the latest and greatest technology due to parts of their stack unable to leverage new technology and requiring upgrade to and deployment of the stepping stone technology, these enterprises have to choose between vendor lock-in in a multi-year software and service contract or risk building and implementing a version of the older technology in-house. Business Drivers of Infrastructure-as-a-Service The biggest risk in building technology platforms in-house is the risk of commoditization. The argument played out with the debate over internal vs. public clouds. Initially, enterprises were hesitant to leverage public clouds with several of them opting to build internal, private clouds. Building a cloud is hard. Operating and maintaining a cloud is even harder. Ensuring that the cloud is running on and leveraging the best in class technology requires dedication to the cause. This is often missing in non-technology enterprises by design given they are driven by different and separate business drivers and considerations. A cloud service provider is motivated to ensure the best in class service and technology because that drives revenue for them. An enterprise whose main business is not offering cloud or software services will not be motivated by the same drivers and thus there will be an inherent difference in their approach and success with building and delivering an internal cloud. Business Drivers for Platform-as-a-Service The same argument (public vs private clouds) applies to platforms. Building the best in class platforms that offer the ability to develop cuttin
pintadachica

Don't Reinvent The Wheel - The AI Company - 0 views

www.autolearn.ai/...7-8-29-dont-reinvent-the-wheel

AI autolearn Artificial intelligence technology innovation enterprises

shared by pintadachica on 18 Jan 19 - No Cached
  • pintadachica on 18 Jan 19
     
    One of the top reasons for digital innovation and transformation failures can be summarized as the enterprise trying to reinvent the wheel. This is the tendency of the enterprise to attempt to create technology, platforms, and applications that have already been implemented, scaled, optimized and almost perfected. This tendency almost always ends up a failed one as it does not create any net new value for the enterprise but comes with a massive opportunity cost as the enterprise spends crucial resources on reinventing the wheel than innovating for the customer. How The Wheel Is Reinvented Nontechnology enterprises can get trapped in a reinvent state where they conclude that homegrown technology is the only path towards customer and business value. This in itself is not entirely false however the type of enterprise and their decision-making process along with the capabilities they have in house have a very large impact on the success of the strategy.eRaaadada Reinventing the wheel happens when a non-tech enterprise discovers a technology trend towards much later in the hype cycle almost towards the end when the technology is hitting the mass market and decides to recreate or reinvent its own version of the technology. This is often done with the assumption that with some investment, the enterprise can have a home grown version of technology or platform that is designed specifically for its needs and is thus a better fit. However, enterprises assume that the state of the technology will remain constant and while they are attempting to home grow a version that can match the current state of the art. In reality, the state of the art shifts and the enterprise is not able to bridge the gap. Who Reinvents The Wheel Typically, technology teams often decide to go down the path of reinvention when they are allowed to make technology upgrade or technology creation decisions without business KPIs and cost constraints i.e. clear success criteria with fixed cost and clear ti
pintadachica

To Create Is Not Enough: How to Focus on Consumption - The AI Company - 0 views

www.autolearn.ai/...gh-how-to-focus-on-consumption

Artificial intelligence AI autolearn technology innovation digital strategy

shared by pintadachica on 18 Jan 19 - No Cached
  • pintadachica on 18 Jan 19
     
    A pitfall in the path to innovation and disruption is the lop sided focus on "creation" and not enough focus on "consumption". Creation is the process of creating platforms, products, and solutions where as consumption focusses on ensuring that the created artifacts deliver the intended value. Too often enterprises get caught up in "creation" or enabling "creation" and lose sight of the fact that without consumption, anything they create is bound to be a failure. Creation & Consumption can not be Sequenced A misconception that often exists is that "if we build it, they will come" i.e creating the product and solution is enough and its existence will automatically lead to consumption and value generation for the customer. However, creation and consumption cannot be sequenced i.e. made a focus sequentially. Creation and consumption only succeed when they go hand in hand where tight, iterative loops ensure that the creation is informed by consumption trends and feedback and that consumption is also leveraging the latest creations. What Does A Lop-Sided Focus Look Like The top 3 signs of this lop-sided focus are as follows Focus on Building Platforms When the focus of the enterprise is building platforms and when customer value is only created when a developer leverages the platform to build a customer facing application, it often means that the effort invested in the platform has no ROI. When the focus is on platforms, application investment suffers and the platform builders get sidetracked with platform KPIs as opposed to business value KPIs. The platform builders might only focus on "Developer" satisfaction when ultimately, customer satisfaction matters for the business. Focus on Tools, Not on Solutions Another sign of lop-sided investment is a focus on tooling at the expense of solutions. Enterprise teams can often go overboard with building large libraries of tools and using the adoption of the tool as a metric of success. However, simil
pintadachica

Future Proofing for Agility - The AI Company - 0 views

www.autolearn.ai/...2017-8-30-thoughts-on-agility

Proofing agility Ai Company autolearn artificial intelligence strategy digital

shared by pintadachica on 11 Nov 18 - No Cached
  • pintadachica on 11 Nov 18
     
    A lot has been said about agility and the need for enterprises looking to innovate and disrupt to build agility. Agility, at the same time, also gets confused with the process of scrum. Small and large teams get enamored with the idea of scrum and mistake the process with the state of being agile. This is often more detrimental to the enterprise and can often create more process and not enough real agility. What is Agility Agility is the efficiency with which an enterprise executes and delivers on its objectives and goals. Agility is the ability to react to changes in goals, feedback from customers and shifts in strategy. Agility, from the outside, looks like a predictable stream of value delivered by the enterprise that matches and exceeds the needs of the customer. Organizational agility requires agility at multiple levels within the enterprise to drive the insights that can channel and align the efforts of the entire organization by leveraging data and information to make quick and informed decisions. Business Agility Business and customer-facing employees need to achieve "Business Agility". This is the ability of these employees to react to business critical in real time if needed and have access to the latest information at any decision point. Business Agility enables users to reduce the latency or lag between a need in the market or of the customers and when they are able to service the need. Decision Agility Analysts and data scientists creating the insights to drive decisions require "Decision Agility" i.e the ability to easily discover, leverage and use data for analytics and insights through any and multiple tools and channels. Analysts and data scientists need to produce insights that reduce the time and effort required to convert data into information and insights that are required to drive key decisions and actions. Development Agility Application developers and data engineers need the ability to easily generate, collect, access and deli
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
mmohkabaty

How to Choose the Best Blogging Platform | TechLynch - 0 views

techlynch.com/ose-the-best-blogging-platform

blogging blog tips platforms best platform

shared by mmohkabaty on 12 Aug 16 - No Cached
  • mmohkabaty on 12 Aug 16
     
    There are tonnes of blogging platforms out there. All of them are centered on providing bloggers with a means to share their content with the rest of the world. This then begs the question, which platform should I choose as a blogger and why?
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

Can you transform into a tech company? - The AI Company - 0 views

www.autolearn.ai/...-transform-into-a-tech-company

autolearn AI artificial intelligence digital strategy Company auto learn

shared by pintadachica on 11 Nov 18 - No Cached
  • pintadachica on 11 Nov 18
     
    Transforming into a tech company has become top of mind for executives in all major industries. It is clear that modern technology will fundamentally alter what and how business is done in every domain, sector, and industry. This has led to a call to arms in every enterprise to understand how they can transform into a tech company. The Tech Company Magic Tech companies have fine-tuned the art of bring new digital products and services to the market, quickly, efficiently and effectively and understanding customer feedback to iterate and improve. This capability makes them incredibly agile and leads to faster experimentation that is cheaper and involves less risk. In turn, this enables them to bring new capabilities to the market and even if all do not succeed or get traction, a few do and that drives innovation, customer satisfaction, and growth. From the outside, tech companies appear to be massive juggernauts that are unstoppable and able to crush everything in their path. The 'Non-Tech' Technology has been leveraged in every sector and industry, however, it has almost always been treated as a means to an end, something that is required but never the real value driver for the customer. This has led to the typical organizational structure in enterprises into "Business", "Operations" and "Information Technology". The "Business" arm generates value for customers, the "Operations" team carries out the requirements of the Business team and the "Information Technology" team provides the systems (databases, network and compute) required to "keep the lights on" for the Operations and Business Teams" This structure served enterprises well in the last decades as customers did not have an alternative to directly working with the enterprise and this fortified the value supply chain and also established a hierarchy of sorts within the enterprise where the business looked down upon operations who looked down upon technology. The purpose of
dineshtaylor777

Moosend Review 2021: Everything You Need to Know - 0 views

www.bloggerwala.com/moosend-review

Moosend

shared by dineshtaylor777 on 26 Feb 21 - No Cached
  • dineshtaylor777 on 26 Feb 21
     
    The best email platform on the market , I absolutely love Moosend! I am a new user, having come from a huge platform, to a medium platform, and when I found Moosend, it was a no brainer to move my list over. Their Customer Support is, hands down, the best I have seen on the market!
wasiullah

Top 4 Free Blogging Platforms - 0 views

www.weblogtricks.com/...4-free-blogging-platforms.html

free blogging platforms

shared by wasiullah on 14 Oct 17 - No Cached
  • wasiullah on 14 Oct 17
     
    Top four free blogging platform to create blogs for free
    Blogging for beginners that how to choose free blogs for creating to blog for making money and for growing business,
pintadachica

Are you worried about the quality of your data? - The AI Company - 0 views

www.autolearn.ai/...about-the-quality-of-your-data

AI company autolearn Business innovation technology digital journey strategy data transformations

shared by pintadachica on 20 Dec 18 - No Cached
  • pintadachica on 20 Dec 18
     
    The quality or the lack thereof can be a huge contributing factor to a fractured and sluggish digital journey where ROI is hard to achieve and results come in short supply. The quality of data has a direct impact on the ability of the enterprise to be aware of relevant events, its reaction time, the decision time and its action time. A clear and concerted effort is required to measure and improve the data quality to drive better decisions and actions. Common Quality Issues The following are the most common quality issues Comprehensiveness Comprehensiveness quality issues refer to key attributes or data points missing from the data collected by the enterprise. This can occur when the data producing systems or the data delivery networks have glitches or malfunction or are incorrectly configured to miss entire rows of data or attributes of the data. Integrity Integrity quality issues refer to the corruption of the values of key attributes to contain unidentifiable or unreadable data. When key attributes are empty or null when they are by design, not allowed to be empty/null or when an attribute contains a value that does not meet the specifications of the type of the attribute for example, a string column contains an integer or a timestamp column contains a string not parse-able into a timestamp. Integrity of data is important before data can be included in the data set to drive analysis, decisions and actions. Sampling Sampling quality issues refer to the inclusion or exclusion of a certain percentage of the records in a data set with the assumption that the remainder records are good, representative sample of the original data set. Bad or inaccurate sampling can lead to a distorted view of reality and that can lead to bad decisions. In addition, sampling itself can make the data set inappropriate for certain types of analysis that require the entire dat set to be utilized for training. Filtering An upstream filtering scheme can end up removing too many or
rasel136

Best Horror Movies You Cannot Watch on US Netflix - Popcorn Horror - 0 views

popcornhorror.com/movies-cannot-watch-us-netflix

Movie Horror Netflix Watching USA Film popcornhorror

shared by rasel136 on 22 Dec 20 - No Cached
  • rasel136 on 22 Dec 20
     
    While lockdown and shelter in place orders continue in many parts of the world amidst the coronavirus crisis; horror fans have turned to video streaming platforms. With a constantly changing catalog of titles to watch, the choice of what to watch next can feel overwhelming. How many times have you aimlessly wandered around the film or TV library looking for something to grab your attention? Netflix is increasingly becoming a staple option in many homes, with its use rising and viewers spending more time on the platform while confined to their homes. Often films and television shows are available across multiple countries on the streaming service - but sometimes this is not the case. With complex licensing deals and the enormous task of negotiating distribution in various locations - often some hidden horror gems don't make it to the USA. Even major titles and established franchises sometimes see US distribution by Netflix end, while still being available to stream in other locations. Outside the big releases, smaller and independent horror content may distribute locally and will never be available to residents of the US. We are going to take a look at some of the films available on Netflix outside of the USA - and explain how to access them inside America. US movie fans who have exhausted the selection of horror available to them are turning to VPN services to access a more diverse range of horror films and shows. A Netflix VPN works by changing the user's IP address, allowing them to access content as though browsing from a different country than their own. They can view and screen films exclusive to Canada, the UK, Japan, and more in the same manner users in these countries would. If you have been thinking about expanding your knowledge of international horror; this could be a perfect solution. So, what's available outside of the US that horror fans will want to check out?
rasel136

Get sporty under lockdown - here's how - Sports Mole - 0 views

www.sportsmole.co.uk/...lockdown-heres-how_399469.html

sporty lockdown exercise entertainment events game

shared by rasel136 on 21 Dec 20 - No Cached
  • rasel136 on 21 Dec 20
     
    Social distancing is the new buzz word for 2020. Measures imposed by governments across the globe have caused the cancellation or postponement of sporting leagues, events and tournaments, leaving a gaping hole in the lives of sports fans everywhere. Luckily, the internet means there are still plenty of ways for everyone to get a daily dose of exercise and sporting entertainment. Social Distancing Exercise Daily exercise is as important now as it has always been. Whilst there are no team sports allowed, there are still plenty of ways to stay fit and active. Being allowed out for daily exercise means running and cycling are still on the cards. And for those with extra energy to burn, High-Intensity Interval Training (HIIT) sessions are all the rage. YouTube is full of HIIT workouts lasting between 10 minutes and 1 hour. King of HIIT and the nation's favourite PE teacher, Joe Wicks, has plenty of videos online to suit everyone from beginners, kids, and seniors to hard-core fitness fanatics. Online Gaming Online gaming offers up the thrill of sports, albeit without the physical aspects. And you don't need a PlayStation or Xbox as plenty of computer games and apps are downloadable. Dream League Soccer 2020 - Take charge of a footie team, building it from over 3,500 players and rise through the ranks of eight leagues to the top flight of football. TGC 2019 - An authentic golf sim that lets players design challenging courses, compete in Skin wager matches, or become a golfing pro in the PGA Tour Career mode. NBA 2K20 - Adapted for Android, this basketball app has multiple gaming modes. Build a career, compete in streetball tournaments, or become GM of your own team. Even Formula One is getting in on the online gaming act by running virtual races with current and past drivers fighting it out via a video game. F1 fans can watch the races on Sky Sports, YouTube, Twitch, and Facebook channels. Not a fan of online gaming? You can always challenge yourself with one
cydo_media

10 Apps Like Instagram That Are Very Important To Know! - 0 views

cydomedia.com/apps-like-instagram

shared by cydo_media on 15 Dec 21 - No Cached
  • cydo_media on 15 Dec 21
     
    Do you know, there are more apps like Instagram - socially interactive & collaborative? The opportunity to connect with millions of people by signing up at some social platform was once a DREAM! YouTube managers earn a lot of money by using YouTube as a marketplace. Similarly, Instagram is a fantastic platform for uploading, editing, and sharing photos and reels.
huptechwebpvt

Enhance Your Shopify Store's Design - 0 views

www.huptechweb.com/ance-your-shopify-store-design

#ecommerce web development #digital marketing company #hire shopify developer wordpress woocommerce

shared by huptechwebpvt on 07 Sep 22 - No Cached
  • huptechwebpvt on 07 Sep 22
     
    Shopify is one of the greatest eCommerce Web Development platforms businesses use to build their eCommerce stores. Web development platforms offer a wide range of functionalities for adding to your website to make it more user-friendly for your customers.
wasiullah

http://www.weblogtricks.com/2017/10/top-4-free-blogging-platforms.html - 0 views

http://www.weblogtricks.com/2017/10/top-4-free-blogging-platforms.html

http:__www.weblogtricks.com_2017_10_top-4-free-blogging-platforms.html

started by wasiullah on 14 Oct 17 no follow-up yet
Satish Kumar Ithamsetty

How to Become a Popular Blogger: 10 Proven Tips for every Blogger - 0 views

www.bloggingden.com/become-popular-blogger

blogging tips popular blogger SEO Blog post

shared by Satish Kumar Ithamsetty on 04 Dec 16 - No Cached
  • Satish Kumar Ithamsetty on 04 Dec 16
     
    Starting a blog is a no-brainer nowadays, given the plethora of choices and easy-to-use platforms out there. You just have to write a great post and upload it online for people to read and comment on it, right? Well, it's not rocket science now, is it? At least, that's what I assumed at first when I started blogging, but experience has taught me a different lesson.
pintadachica

5 signs why your digital transformation might be in trouble - The AI Company - 0 views

www.autolearn.ai/...sformation-might-be-in-trouble

AI Company digital transformation learn cloud artificial intelligence

shared by pintadachica on 10 Nov 18 - No Cached
  • pintadachica on 10 Nov 18
     
    Digital Transformation is tough, even for seasoned technologists. This is because it is a transformation of an organization at its core. Everything from culture, technology, ideation, development, integration, delivery, and support needs to fundamentally shift to be more customer-centric, service driven, automation first and experimental in nature. No wonder that a lot of organizations take a long time and a lot of investment to see ROI from their digital transformations. Here are 5 signs that your digital transformation might be in trouble. Culture mistrusts the core digital transformation team You are spawning new initiatives before completing previous ones Decisions are top down with low accountability at the leaf nodes You tend to focus on technology stacks with little focus on customer value Inter-organization politics stifles cross-organization scenarios Culture mistrusts the core digital transformation team It is almost impossible to make an entire organization aware and participate in digital transformation at the same time. There are exceptions but in our experience, starting out with a core digital transformation team is a much better strategy than otherwise. This team should be enabled to attack a limited set of important and business relevant problems, build cutting-edge solutions and use them as examples to train and evangelize digital transformation strategies to the rest of the organization. However, the more entrenched an organization in the old way of doing things, the harder they might this central team. Resistance can be active and passive such as refusal to share data or provide the relevant context of the problem. An organization that does not set up the early crusaders for success almost always has a much harder time showing value from their digital transformation activities. You are spawning new initiatives before completing previous ones Executing on a digital transformation strategy is much harder than defining the strategy especially fo
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

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
1 - 20 of 41 Next › Last »
Showing 20▼ items per page