Artificial Intelligence has created a buzz across all major industry sectors.Talking about the fitness sector, AI can give intelligent solutions to wellness and fitness-related issues.Many gyms and fitness clubs want to leverage the benefits of AI app development and attract more people.This trend has opened the doors of new opportunities for AI in a thriving global fitness technology market, which is expected to reach $62.1 billion by the year 2025.It contributes to a range of processes including marketing strategies, day-to-day activity schedules, and user experiences.Let’s go through some of the key benefits of AI in fitness app and find out how it becomes a game-changer.

Chatting AI is the name for the Artificial Intelligence technology devices responsible for Conversational encounters with computer systems.It describes a host of artificial intelligence innovations utilized to allow pcs to speak 'smartly' with us.Conversational AI is the 'chat' portion of the AI-based chatbot.AI-based chatbots use Conversational AI to chat as well as comprehend along with you https://aisera.com/demo-ai-for-itsm-hr-csm

The history of artificial intelligence has been marked by repeated cycles of extreme optimism and promise followed by disillusionment and disappointment. Today’s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots and self-driving cars continue to recede as we approach them. Part of the continued cycle of missing these goals is due to incorrect assumptions about AI and natural intelligence, according to Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute and author of Artificial Intelligence: A Guide…This story continues at The Next Web

AI algorithm created disturbing stories, including sex scenes involving children.

Sensor data from smartphones and wearables can meaningfully predict an individual’s ‘biological age’ and resilience to stress, according to Gero AI. The ‘longevity’ startup — which condenses its mission to the pithy goal of “hacking complex diseases and aging with Gero AI” — has developed an AI model to predict morbidity risk using ‘digital biomarkers’ […]

Procurement and supply chain are at the cusp of disruption with artificial intelligence (AI), the internet of things (IoT), and blockchain technology.A digital transformation is after promises greater efficiency in business operations, transparency, processes, and security.Also, Netflix uses the AI-based big data concept to forecast the "House of Cards" success.Many chief procurement and supply chain management officers are already focused on gathering volumes of data generated through AI, IoT, big data, and social media available in the public domain.Many companies have developed tools to improve  spend analysis based on the public domain data from social media, big data algorithms, demographics, suppliers, weather data, competition, and logistics.The data points collected from these sub-pointers help uncover insights to improve the supply chain with a cost-effective method.READ MORE:- https://www.pukkapartners.com/insight/procurement-and-supply-chain-transformation-integration-of-ai-and-blockchainSupplier Lifecycle ManagementWhen improved by AI and blockchain concepts from the public domain, the traditional supplier lifecycle management platform can offer important information on suppliers and supply chain risks.It is witnessing the incorporation of AI-based solutions to track the product quality at various supply chain stages that are expected to improve the process efficiency and provide the metrics for supplier performance evaluation.Strategic SourcingSourcing is a relatively complex business process considering the involvement of stakeholders from various cross-functional teams.

Earlier today, Nokia announced the launch of Nokia Data Market – the company’s enterprise-level blockchain-based data market infrastructure service. Unlike ordinary public chains, the Nokia ... The post Nokia announces a blockchain-based data marketplace appeared first on Gizchina.com.

Digital Advertising Software Market Scenario:The crippling effect of the global COVID-19 pandemic has detained the growth potential of the Digital Advertising Software Market.This MRFR report on the Digital Advertising Software Market indicates critical pointers that may emerge as growth hubs in the future.Moreover, in-depth data analysis is estimated to offer a clearer growth perspective to market participants.A switch from TV advertising to digital advertising, precisely, connected TV advertising is one of the most crucial factors bringing an impact on the expansion of the Digital Advertising Software Market 2020.The advertising software allows ad creation software and video ad making tools, which assists in proposing collective and creative advertisements.Increasing internet penetration and smartphone usage is additionally affecting the expansion of the Digital Advertising Software Market.The market offers opportunities from the expanding adoption of cloud-based services and the implementation of artificial intelligence or machine learning algorithms with the advertising software.The Digital Advertising Software Market is estimated to bring an impact on developing technologies such as AI, ML, and IoT.Request a Free Sample @ https://www.marketresearchfuture.com/sample_request/8637Competitive Outlook: The distinguished players in the global market of advertising software are Index Exchange Inc. (US), Criteo SA (France), Adform (Denmark), Google (US), PubMatic Inc. (US), Adobe Systems Inc. (US), AppNexus (US), AdRoll (US), The Trade Desk (US), Amazon.com Inc. (US), The Rubicon Project (US), Comcast Corporation (US), Oracle Corporation (US), dataxu (US), Neustar (US), MediaMath, Inc. (the US), Centro (US), Salesforce.com, Inc. (the US), Facebook, Inc. (the US), PubMatic Inc. (US), OpenX Technologies Inc. (US).

On the back of growing patient volume and occurrences of diverse ailments, there has been massive rise in silos of data which needs mindful management for systematic access.This need for optimum data management and timely, seamless access has necessitated expansion of the Healthcare IT Integration Market.Request for Sample PDF @ https://www.adroitmarketresearch.com/contacts/request-sample/1258As Electronic health records become the new models of data maintenance in healthcare, healthcare IT integration market embraces new growth prospects with renewed fervor.This massive data volume need just not easy access but also need requisite digital management such as predictive analytics, artificial intelligence and the like to attain real time cognition and render well informed and wise decisions.Deployment of voice technology is also crucial in delivering optimum preventive medication with the help of voice technology that can well ahead determine disease probabilities on the basis of patient specific speech.Browse Complete Report @ https://www.adroitmarketresearch.com/industry-reports/healthcare-it-integration-marketMicrosoft and Nuance Technologies Join Forces to Enable Quick AI based Medical DocumentationStakeholders in healthcare industry are gearing up to undersign multiple joint ventures to take clinical documentation to the next level thereby ensuring sustainable growth in healthcare IT integration market.The development is a crucial one and is actively transforming medical documentation, fetching diverse growth opportunities in healthcare IT integration market.It envisions to articulate the holistic growth trajectory and also presents a systematic overview of market segmentation on the basis of which healthcare IT integration market is broadly classified into several categories such as product and services, end user and regional overview.

Pushing AI to the edge, instead of the reverse, is key for businesses to capitalize on 5G.

Artificial Intelligence is one of the top digital transformation channels which is gaining popularity in recent days.The time to explore AI implementation has become mandatory for every business owner.AI is penetrating the B2B market as well!Moreover, 80% of B2B organizations executives believe that AI will revolutionize the industry it seems.As AI moves deeper into mainstream enterprises, it is crucial to understand its significance and impact on everything right from business strategy, business operations, to customer delivery!In this blog, we have discussed the popular reasons why B2B organizations should leverage Artificial Intelligence.AI can help businesses increase sales, enhances lead generation, optimize content delivery, and improves customer experience.

The global airport information system market size is projected to reach USD 4,014.3 million by the end of 2027.We understand that this health crisis has brought an unprecedented impact on businesses across industries.Rising support from governments and several companies can help in the fight against this highly contagious disease.Overall, almost every sector is anticipated to be impacted by the pandemic.We are taking continuous efforts to help your business sustain and grow during COVID-19 pandemics.The high investment in technological intervention in the machinery and equipment used at airports will have a positive impact on the growth of the overall market in the forthcoming years.The availability of open source technologies such as artificial intelligence and the internet of things will yield products of the highest calibre.

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The global modular data center market size is expected to gain momentum by reaching USD 65.55 billion while exhibiting a CAGR of 19.0% between 2020 and 2027.This is attributable to the growing adoption of advanced technologies such as cloud and artificial intelligence (AI) by the SMEs that drives the demand for innovative modular data centers globally.This information is published by Fortune Business Insights, in its latest report, titled, “Modular Data Center Market Size, Share & COVID-19 Impact Analysis, By Component (Function Module Solutions, and Services), By Application (Emergency Data Storage, Temporary Storage Expansion, Disaster Recovery, Edge Computing and Others), By Data Center Size (Small and Medium Data Center, and Large Data Center), By Industry (BFSI, IT & Telecom, Government, Healthcare, Media & Entertainment, Others) and Regional Forecast, 2020-2027.” The report further mentions that the market stood at USD 16.56 billion in 2019.List of the Companies Profiled in the Global Market:· IBM Corporation (California, United States)· CommScope Inc. (North Carolina, United States)· Dell, Inc. (Texas, United States)· HPE Company (California, United States)· Baselayer Technology LLC (Arizona, United States)· Vertiv Co. (Ohio, United States)· Diversitec, Inc. (Virginia, United States)· Iron Mountain Corporation (Massachusetts, United States)· Rahi Systems (California, United States)· Rittal GmbH & Co. KG, (Herborn, Germany)· Schneider Electric SE (Rueil-Malmaison, France)· Cannon Technologies Ltd (Hampshire, United Kingdom)· Stulz GmbH (Hamburg, Germany)· Instant Data Centers LLC (Arizona, United States)· Colt Group SA (London, United Kingdom)· Bladeroom Group Ltd. (United Kingdom)· Huawei Technologies Co., Ltd. (Shenzhen, China)· ZTE Corporation (Shenzhen, China)DRIVING FACTORSGrowing Adoption of Cloud-based Services to Augment GrowthThe generation of large amounts of data is propelling the companies to develop advanced solutions to store and maintain it efficiently.The growing adoption of cloud-based tools and applications provides the government and key players to centralize, compute, improve operational efficiency, and reduce the overall energy consumption.This further enables the companies to cater to the changing needs for critical IT power.Therefore, the adoption of cloud-based solutions and services is expected to contribute to the growth of the global market during the forecast period.REGIONAL INSIGHTSNorth America to Remain Dominant; Increasing Investments to Aid GrowthAmong all the regions, North America is expected to hold the highest position in the global modular data center market.

In today’s dynamic and highly componentized IT landscape, predictive analytics offers the much-needed ability to proactively predict future outages and automate fixes before they bring down the entire infrastructure.Owing to the rapid digitization of business operations, IT teams need to constantly monitor and analyze large volumes of data, resulting in extended delays in identifying and solving issues.On top of that, a single IT issue can trigger thousands of alerts, logs, and events, and with the ITOps team working in disconnected silos, it becomes extremely difficult to diagnose the root cause and solve issues.Predictive analytics, powered by big data, artificial intelligence (AI), and machine learning, overcomes these obstacles to improve application performance, network uptime, and IT infrastructure resiliency by predicting and mitigating outages, and reducing maintenance and operations expenditure in the process.Gartner predicts that the number of large enterprises that use artificial intelligence in IT operations to combine big data and machine learning functionality to enhance or optimize IT operations and automate processes and tasks to grow by 40% by 2023.Let’s understand how predictive analytics is transforming ITOps.Predictive Analytics: An Evolution In IT Today’s IT operations monitoring and management systems leverage predictive analytics for collecting and integrating data, normalizing it, and analyzing it in real-time.Machine learning algorithms analyze past incident data to predict and resolve potential incidents in the future.Here are some ways in which predictive analytics is transforming IT operations.1.Dynamic Thresholding And Anomaly Detection An anomaly detection algorithm uses unsupervised machine learning to get familiar with the IT environment, recognize expected behavior, and set dynamic thresholds against vital performance metrics.Consequently, event patterns are analyzed in real-time and compared against expected behavior, and the IT team is alerted when a series of events showcase anomalous activity.Moreover, fuelled by artificial intelligence, the system also accounts for false alert suppression and seasonality, i.e.For example, a 90% system utilization is normal during peak business hours, but indicates an issue when the same metric is hit on a Sunday morning.Anomalous group of events are helpful in –Alerting the team regarding an unplanned activity, for example a cyber attackMaking IT operations more agile by improving planning for significant events, for example, Amazon increasing capacity to ensure infrastructure and applications perform well during the ‘Big Billion Sale’.2.Predictive Maintenance Of Application Health In Real-Time Performing application health monitoring in real-time allows ITOps teams to respond to a degradation in application health before operations come to a standstill.Available data generated by the application, including configuration data, network logs, application logs, performance logs, and error logs, is compiled.Multivariate machine learning techniques analyze this data, across different dimensions, to learn the application’s normal behavior.As new data enters the application, the model identifies unusual patterns and sends it to the IT personnel to follow up before a business-critical outage takes place.3.

The global IoT security market size is expected to reach USD 20,776.1 million by 2027, exhibiting an excellent CAGR of 32.3 % during the forecast period.The increasing implementation of blockchain technology for improved security will have a massive effect on the growth of the market, states Fortune Business Insights, in a report, titled “IoT Security Market Size, Share COVID-19 Impact Analysis, By Component (Software, and Services), By Enterprise Size (SMEs, and Large Enterprises), By Deployment (Cloud and On-Premise), By Product Type (Network Security, Endpoint Security, Application Security, Cloud Security, and Others), By Application (Smart Homes, Smart Manufacturing, Connected Logistics, Connected Healthcare, Smart Retail, and Others), By End-use Industry (Consumer IoT, Manufacturing, Retail, IT and Telecommunication, BFSI, Government, Transportation Automotive, Energy Utilities, Healthcare, and Others), and Regional Forecast, 2020-2027.” The market size stood at USD 2,221.0 million in 2019.The report on the IoT security market encompasses:· Comprehensive analysis of dominant regions· Key Drivers and restraints· Latest trends· Key information about prominent players· Bird-eye view of the COVID-19 situationMarket Driver:Rising Security Concerns Associated with Malware Attacks to Augment GrowthThe growing malware attacks pertaining to IoT devices is expected to fuel demand for IoT security in the forthcoming years.For instance, Telnet, Mirai, and denial-of-service attacks (DDoS) have become prevalent.The Mirai malware can penetrate and attack enterprise IoT devices such as digital signage television sets (TV) or wireless presentation systems.Besides, the escalating malware attacks will drive the IoT network security solutions among organizations.Shift towards Smart Connected Devices to Elevate Market Amid CoronavirusThe inclination towards machine learning, artificial intelligence, will influence the healthy growth of the market during the coronavirus.Moreover, the surging demand for wirelessly connected devices in the healthcare industry can have a tremendous impact on the market amid COVID-19.

The global video surveillance market is likely to gain momentum from the increasing usage of deep learning technology.This information is given in a recently published report by Fortune Business Insights™, titled, “Video Surveillance Market Size, Share ImpactAnalysis, ByComponent (Hardware, Software, and Video Surveillance as a Service (VSaaS)), By End-User (Commercial, Industrial, Residential and Government), and Regional Forecast, 2019-2026.”.The report further mentions that that the market size was USD 19.12 billion in 2018 and is projected to reach USD 33.60 billion by 2026, exhibiting a CAGR of 6.8% during the forecast period.Drivers-Increasing Smart City Initiatives to Skyrocket DemandThe rising adoption of artificial intelligence (AI) worldwide is one of the major video surveillance market growth drivers.The Carnegie Endowment for the International Peace Organization published a paper in 2019 which states that out of the total 176 countries, 75 of them are using AI for surveillance purposes, such as smart citing, facial recognition systems, and more.It proves that the rising development of facial recognition applications and smart city initiatives by several regions would contribute to the market growth.Segment-Industry Segment to Grow Significantly Owing to Security Issues in Manufacturing SectorBased on end user, the market is segregated into government, residential, industrial, and commercial.Out of these, the industrial segment held 21.4% market share in 2018 for this market.This sector consists of the automobile industry, manufacturing & construction industry, and others.

The global AI in manufacturing market size is expected to rise owing to increasing demand for collaborative robots and growing semiconductor industry.According to Fortune Business Insights, its latest report, titled “Artificial Intelligence (AI) in Manufacturing Market Size, Share & COVID-19 Impact Analysis, By Offering (Hardware, Software, and Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Context Awareness), By Application (Process Control, Production Planning, Predictive Maintenance & Machinery Inspection, Logistics and Inventory Management, Quality Management, and Others), By Industry (Automotive, Medical Devices, Semiconductor , Energy & Power, Heavy Metal & Machine Manufacturing, and Others), and Regional Forecast, 2020-2027.”, observes that the market will hit USD 9.89 Billion by 2027, while exhibiting a promising 24.2% CAGR between 2020 and 2027.This market is expected to witness substantial growth owing to the COVID-19 impact and hence the 2020-2027 CAGR is high/very high, as a large section of industry would look to adopt AI in order to automate the operation with less human intervention.Artificial intelligence (AI) is believed to be a game-changing modern technology for the manufacturing industry.Adoption of AI in manufacturing provides multi-faceted benefits such as accurate and rapid data-driven decisions, minimizing of operational costs, optimizing several processes, and improving the overall experience of customer-satisfaction.In addition to this, AI can be easily embedded to the existing products and services offered by the companies to render them reliable, effective, and safe.For instance, in the automotive industry, AI-based technology such as computer vision is used to accurately detect obstructions to prevent road fatalities, while promoting safe driving.List of the Companies Proliferating in the Market:• Microsoft Corporation (United States)• Google LLC (United States)• IBM Corporation (United States)• Amazon.com Inc. (United States)• NVIDIA Corporation (United States)• Siemens AG (Germany)• GENERAL ELECTRIC (United States)• SAP SE (Germany)• Rockwell Automation, Inc. (United States)• Mitsubishi Electric Corporation (Japan)Regional Analysis:Increasing Investment for AI-based Platform in Asia-Pacific to Drive the MarketAmong the regions, the market in Asia-Pacific that hit USD O.68 Billion in 2019 is expected to hold the highest global AI in manufacturing market revenue during the projected horizon.

Our everyday experiences with digital technology are gradually being impacted through Artificial Intelligence-based tools and services.It is intruding every industry and project management is no exception to this.As per the report of AI Innovators: “The imposing of AI in project management has made an impact up to 81%, and project managers have also admitted it”.The same report has also predicted that the AI-powered project management methodology will increase from 25% to 40% in the coming years.A project manager in an IT company is always engaged with different projects with complex and monolithic project structures and uses SaaS web apps.Read the full article at Orangescrum blog

Collaboration With Institute of Oslo University Hospital Will Leverage AI for Novel Tumor Biology Insights  Indivumed GmbH (“Indivumed”) today announced a joint research collaboration to expand IndivuType by adding digital pathology images and data using cutting-edge technology from the Institute for Cancer Genetics and Informatics (“ICGI”) at Oslo University Hospital, a world leader in the application of Deep Learning and AI in oncology.By scanning high resolution images of haematoxylin and eosin-stained tumor section slides for all IndivuType cases, Indivumed will be able to leverage an entirely new dimension of data in the coming months.The expansion of IndivuType’s digital pathology asset and analysis capacity will allow Indivumed and ICGI to combine the cancer phenotype, as defined by the tumor morphology, with the deep molecular multi-omics characterization of the tumor, resulting in better prognostic and diagnostic algorithms which will aid in the personalized treatment of cancer.Furthermore, the project will use the multi-omics data to unlock the black box of Deep Learning to create completely novel insights into tumor biology.“We are constantly driven by our mission to unveil the complex mechanisms of cancer in order to advance precision oncology,” said Roald Forsberg, PhD, Indivumed Chief Business Officer and Head of the IndivuType Business Unit.“Our collaboration with the renowned ICGI team at Oslo University Hospital is truly unique in that it will result in the creation of the world’s first data asset to combine full multi-omics data with clinical and digital pathology data.”Indivumed will work closely with the Institute for Cancer Genetics and Informatics (ICGI) at Oslo University Hospital to leverage artificial intelligence algorithms to deliver a fully automated method of prognosis for colorectal cancer.IndivuType will utilize the analytical data generated from the standardized global collection of thousands of high-quality patient samples to validate the prognosis method and identify multi-omic signatures that can explain the underlying biology behind the algorithm.The resulting discoveries will be used to explore new avenues of cancer treatment and prevention.“The success of our program relies on a unique combination of academic and industrial competence using artificial intelligence and digital tools in pathology,” said Professor Håvard E. Danielsen, Director of the Institute for Cancer Genetics and Informatics (ICGI) at Oslo University Hospital.