{"id":461,"date":"2022-07-28T22:34:34","date_gmt":"2022-07-28T22:34:34","guid":{"rendered":"https:\/\/msramaraomemorialtrust.org\/?p=461"},"modified":"2023-01-12T16:28:59","modified_gmt":"2023-01-12T16:28:59","slug":"how-artificial-intelligence-is-transforming","status":"publish","type":"post","link":"https:\/\/www.msramaraomemorialtrust.org\/index.php\/2022\/07\/28\/how-artificial-intelligence-is-transforming\/","title":{"rendered":"How Artificial Intelligence Is Transforming Business"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">AI vs. Machine Learning vs. Deep Learning<\/a><\/li>\n<li><a href=\"#toc-1\">How Else Could AI Solutions Be Implemented in HR?<\/a><\/li>\n<li><a href=\"#toc-2\">AI for Workflow Automation and Demand Forecasting in Retail<\/a><\/li>\n<li><a href=\"#toc-3\">Artificial intelligence is already here. How is it impacting business every day?<\/a><\/li>\n<li><a href=\"#toc-4\">Personalized product recommendations.<\/a><\/li>\n<li><a href=\"#toc-5\">Evaluate your internal capabilities<\/a><\/li>\n<li><a href=\"#toc-6\">Finding Preferred Lodging Based on Images<\/a><\/li>\n<\/ul>\n<\/div>\n<p>This includes incorporating proper robustness into the model development process via various techniques including Generative Adversarial Networks . AI continues to represent an intimidating, jargon-laden concept for many non-technical stakeholders and decision makers. Gaining buy-in from all relevant parties may require ensuring a degree of trustworthiness and explainability embedded into the models. User experience plays a critical role in simplifying the management of AI model life cycles.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"304px\" alt=\"AI Implementation in Business\"\/><\/p>\n<p>We???ve seen teams get ahead of themselves and excitedly develop solutions, but never estimate how valuable those solutions will be. AI engineering provides the foundational components of implementation, operationalization <a href=\"https:\/\/globalcloudteam.com\/ai-implementation-in-business-is-it-necessary-to-do\/\">AI Implementation in Business<\/a> and change management at the process level that enable adaptive AI systems. But adaptive AI requires significantly strengthening the change management aspect of AI engineering efforts.<\/p>\n<h2 id=\"toc-0\">AI vs. Machine Learning vs. Deep Learning<\/h2>\n<p>Analyst reports and materials on artificial intelligence business case from sources like Gartner, Forrester, IDC, McKinsey, etc., could be a good source of information. Gartner and Forrester publish quadrant matrices ranking the leaders\/followers in AI infusion  in specific industries. Descriptions of those leaders\/followers can give a sense of the strengths and weaknesses of the vendors. Read them???with a pinch of salt???as they can be overselling, but still helpful. Over a long enough period of time, AI systems will encounter situations for which they have not been supplied training examples.<\/p>\n<p>Don???t underestimate integration efforts into existing systems, this can involve multiple parties with misaligned incentives and is unlikely to be plain sailing. Introduce change slowly to build up functionality and accuracy over time, users tend to more concerned about false positives than an AI being fully comprehensive in the case of error-flagging review tools. Here I will discard some elements of the formality in the sections above and rather lean on first-hand experience gleaned from being part of an AI product design, development, and delivery team.<\/p>\n<p>???Artificial intelligence??? is a broad term that refers to any type of computer software that engages in humanlike activities ??? including learning, planning and problem-solving. Calling specific applications ???artificial intelligence??? is like calling a car a ???vehicle??? ??? it???s technically correct, but it doesn???t cover any of the specifics. To understand what type of AI is predominant in business, we have to dig deeper. The way to improve the use of AI is through the reproduction of human interaction patterns, as well as the transformation of human-machine interaction.<\/p>\n<h2 id=\"toc-1\">How Else Could AI Solutions Be Implemented in HR?<\/h2>\n<p>The real-time video processing system using recent developments in artificial intelligence involves close integration of a pre-trained neural network model, user scenario implementation algorithms, and cloud infrastructure. It is thanks to the integration of these elements that real-time streaming speed is achieved. Acceleration of video processing is possible in two ways ??? by improving algorithms and by parallelizing processes. Parallelization of processes can be done through file splitting or by applying a pipeline approach.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"307px\" alt=\"AI Implementation in Business\"\/><\/p>\n<p>If that isn???t far out enough for you, Rahnama predicted that AI will take digital technology out of the two-dimensional, screen-imprisoned form to which people have grown accustomed. Instead, he foresees that the primary user interface will become the physical environment surrounding an individual. Artificial intelligence is even an indispensable ally when it comes to looking for holes in computer network defenses, Husain said.<\/p>\n<h2 id=\"toc-2\">AI for Workflow Automation and Demand Forecasting in Retail<\/h2>\n<p>Has implemented Vectra???s AI-driven threat detection to decrease the time needed to identify and eliminate cyber threats. Utilized IBM???s cognitive security technology to protect its website from cybercrime during the tournament. In the face of this crisis, agriculture presents itself as one of the most dynamic areas for the application of AI-powered solutions. 60-70% of material goes to waste, incorporating data analytics, robots, and sensors can bring savings from thousands to millions of dollars yearly. Trains its Machine Learning designer models to explore millions of potential design options and come out with  the optimal recommendation in 15 minutes.<\/p>\n<ul>\n<li>In real-time video are based on creating a model that separates the person in the frame from the background.<\/li>\n<li>Machines process inputs mathematically with unprecedented speed and make decisions based on previously accumulated data.<\/li>\n<li>However, the company is constantly improving its speech recognition technology to support more languages and refine the quality of its captions.<\/li>\n<li>It is critical to set expectations early on about what is achievable and the journey to improvements to avoid surprises and disappointments.<\/li>\n<li>But like anything else, the great power of AI requires great responsibility.<\/li>\n<li>83% of AI early adopters said they are seeing either ???moderate??? or ???substantial??? benefits from deploying AI solutions.<\/li>\n<\/ul>\n<p>Processes involving clients and partners that can be painlessly transferred to the virtual world, and perhaps even made better there. Nowadays, no one is surprised by virtual fitting or product testing, digital modeling of decor, and much more. This article will help you to do this by clarifying the state of affairs in artificial intelligence. We will list the current trends in AI, as well as reveal the recent ones that emerged in 2022 and will be significant in 2023. Virtual agents also have the advantage of being available 24\/7, so low-level questions and issues can be addressed at any time of day, without making your customer wait.<\/p>\n<h2 id=\"toc-3\">Artificial intelligence is already here. How is it impacting business every day?<\/h2>\n<p>In other cases, knowledge exists, but the process for using it takes too long or is expensive to scale. That???s why many investment and wealth management firms now offer AI-supported ???robo-advice??? capabilities that provide clients with cost-effective guidance for routine financial issues. Cognitive technologies are increasingly being used to solve business problems; indeed, many executives believe that AI will substantially transform their companies within three years.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/globalcloudteam.com\/wp-content\/uploads\/2021\/12\/a2dd18b0-44aa-40d8-86e9-893b728d68a0-300x193.jpg\" width=\"300px\" alt=\"AI Implementation in Business\"\/><\/p>\n<p>As the slider moves, businesses will need to adapt, revaluating the implication of change and determining how best to approach futureproofing activities. One of the biggest mistakes any leader can make is to regard AI as a ???plug and play technology with immediate returns??? (Davenport, T.H. and Ronanki, R. 2018). The reality is that the process is neither easy nor fast, as the price to pay for the pace of innovation is patience. Operationalizing AI requires solutions to be deployed into a production-grade environment. In other words, AI projects are really software projects, but with extra complexity. We???ve often seen solutions developed by data scientists, but without the infrastructure or organizational support to take their solution to production.<\/p>\n<p>In order to fully understand how AI technologies can help a business, it???s essential to know what they are. There are many definitions of ???Artificial Intelligence.??? Still, the broad term is that ???AI is any computer software that engages in human-like activities like learning, planning and problem-solving???. It???s like saying your colleague is a ???human???- it???s technically correct but doesn???t specify anything. We must go beyond the basic definition and scramble through the details to learn more about different types of AI and where artificial intelligence is used.<\/p>\n<p>Is one of the most popular systems exploiting sophisticated facial recognition technology to unlock the vendor???s devices. AI has all it takes to become instrumental in modernizing and streamlining the recruitment and onboarding processes. HR experts can rely on it to collect candidate data in an automated fashion, conduct a preliminary analysis, and shortlist candidates that meet the specified recruitment criteria.<\/p>\n<p>A steering committee vested in the outcome and representing the firm&#8217;s primary functional areas should be established, she added. Instituting organizational change management techniques to encourage data literacy and trust among stakeholders can go a long way toward overcoming &#8220;human&#8221; challenges. &#8220;The harder challenges are the human ones, which has always been the case with technology,&#8221; Wand said. Develop an organizational design that establishes business priorities and supports agile development of data governance and modern data platforms to drive business goals and decision-making. People responsible for AI implementation in your company should have different functions and be capable of efficiently managing the processes they???re responsible for.<\/p>\n<h2 id=\"toc-4\">Personalized product recommendations.<\/h2>\n<p>Having a clear reference architecture will assist in selecting technologies in the next phase. It will also make sure you don???t miss any steps in the MLOps cycle that would prevent you from creating complete solutions. <a href=\"https:\/\/globalcloudteam.com\/\">https:\/\/globalcloudteam.com\/<\/a> For a complete overview of MLOps, make sure to check out our comprehensive guide or beginner???s introduction. Having read about all the ways projects can fail, it might be clear why a strategic approach is essential.<\/p>\n<h2 id=\"toc-5\">Evaluate your internal capabilities<\/h2>\n<p>The choice of AI solution is determined by a company???s requirements, as well as resources and budget. On the whole, less sophisticated products usually require less integration effort but also provide fewer capabilities. The more advanced the tool, the more customization it allows, at the same time necessitating greater AI skills to train own data sets.<\/p>\n<h2 id=\"toc-6\">Finding Preferred Lodging Based on Images<\/h2>\n<p>You should also take advantage of the wealth of online information and resources available to familiarize yourself with the basic concepts of AI. ML is playing a key role in the development of AI, noted Luke Tang, General Manager of TechCode&#8217;s Global AI+ Accelerator program, which incubates AI startups and helps companies incorporate AI on top of their existing products and services. It???s hard to say how the technology will develop, but most experts see those ???commonsense??? tasks becoming even easier for computers to process. You can also program these AI assistants to answer questions for customers who call or chat online. These are all small tasks that make a huge difference by providing you extra time to focus on implementing strategies to grow the business.<\/p>\n<h2 id=\"toc-7\">Thinking About Implementing AI in 2023? What Organizations Need to Know<\/h2>\n<p>Artificial Intelligence can also support HR professionals with smart people analytics, providing recommendations on what data to monitor, and how to analyze and protect them. Advanced AI solutions exploiting visual and voice recognition technologies can not only track people???s performance but also observe their mood and attitude. Combined with AI???s predictive skills and data analytics aptitude, these capabilities help human resources teams spot employees who are running low on motivation or might be even possibly heading out. In this context, Artificial Intelligence provides the tools to combat attrition, improve retention rates, and boost employee satisfaction, as they raise the red flag on dissatisfied employees just in time to take action. With those advantages in mind, AIaaS comes with its own set of challenges.<\/p>\n<p>The system engages with employees using deep-learning technology to search frequently asked questions and answers, previously resolved cases, and documentation to come up with solutions to employees??? problems. It uses a smart-routing capability to forward the most complex problems to human representatives, and it uses natural language processing to support user requests in Italian. Infusing AI into business processes requires roles such as data engineers, data scientists, and machine learning engineers, among others. Some organizations might need to contract with a third-party IT service partner to provide supplementary, needed IT skills to model data or implement the software. Before embarking on an AI initiative, companies must understand which technologies perform what types of tasks, and the strengths and limitations of each.<\/p>\n<p>Their most sophisticated use involves a combination of predictive and prescriptive analysis, where machines deliver intelligence-backed predictions and provide advice to the users as to what actions should be performed. Quality assurance is another field of AI application that creates immense value for manufacturers. For example, vendors delivering intricate products such as semiconductors or circuit boards harness high-resolution machine vision to spot and flag quality flaws. The technology can discern faulty products much more accurately than a human eye.<\/p>\n<p>As AI weaves into every layer of our existence, some people raise ethical concerns. Galloping automation leads to treating employees like a commodity that can be easily replaced whenever a ???better??? solution crops up on the horizon. The expanding use of Artificial Intelligence and Machine Learning algorithms by military sparks equal controversy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content AI vs. Machine Learning vs. Deep Learning How Else Could AI Solutions Be Implemented in HR? 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