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DUBLIN--(BUSINESS WIRE)--The "Growth Opportunities in API, Analytics, Cloud, O-RAN, and Artificial Intelligence" report has been added to ResearchAndMarkets.com's offering.

This report provides a snapshot of the emerging ICT led innovations in API, analytics, cloud, open RAN (O-RAN), and artificial Intelligence. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas, such as telecom, retail, supply chain, and sports.

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ITCC TOE's mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more.

The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets.

These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as Big Data, cloud computing, communication services, mobile and wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.

Key Topics Covered:

Innovations In API, Analytics, Cloud, Oran And Artificial Intelligence

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For more information about this report visit https://www.researchandmarkets.com/r/a88ji7

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Growth Opportunities in API, Analytics, Cloud, O-RAN, and Artificial Intelligence 2021 - AI-Powered Video Security Platform to Offer Human-Like...

An analytic predictive study for the future of artificial intelligence and metaverse in 2030

With the pace artificial intelligence is intertwining within our lives, there is no doubt that it will not end anytime soon. Rather, the future looks like a society that would breathe and thrive through artificial intelligence only. Experts believe that specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life. On the other hand, metaverse already has us wrapped in its not so little fingers. From Facebook to Instagram, virtual reality, Whatsapp, and many more, it is quite predictable that by 2030, its empire would only grow further.

A report published from Harvard University presents the eight areas of human activity in which Artificial intelligence technologies are already affecting urban life and will be even more pervasive by 2030: transportation, home/service robots, health care, education, entertainment, low-resource communities, public safety and security, employment, and the workplace will be fully AI-enabled spaces. Some of the biggest challenges in the next 15 years will be creating safe and reliable hardware for autonomous cars and healthcare robots; gaining public trust for Artificial intelligence systems, especially in low-resource communities; and overcoming fears that the technology will marginalize humans in the workplace.

Weve seen a lot of breakthroughs in data analytics. The example of Watson which is an IBM set of algorithms has been very impressive in terms of managing large amounts of data, and ways of structuring the data so that you can see patterns that may have not emerged otherwise. That has been an important leap. But oftentimes, people confuse that leap with machine intelligence and the way that we think about intelligence for humans and its simply not true. So the big leaps that we have had recently in data analytics are important but it also leaves a lot of room for humans to assist these systems. So, it can be said that the wave of the future is the collaboration of humans and these artificial intelligence technologies.

In its fully realized form, the metaverse promises to offer true-to-life sights, sounds, and even smells, whether a tour of ancient Greece or a visit to a Seoul caf can happen from your home. Decked out with full-spectrum VR headsets, smart clothing, and tactile-responsive haptic gloves, the at-home traveler can touch the Parthenon in Athens or taste the rich foam of a Korean dalgona coffee. You wouldnt even have to be you. Members of the metaverse could prowl the Brazilian rainforest as a jaguar or take the court at Madison Square Garden as LeBron James. The only limits are your imagination. It is also expected that using a blend of physical and behavioral biometrics, emotion recognition, sentiment analysis, and personal data, the metaverse will be able to create a customized and enhanced reality for each person.

While the metaverse industry is growing fast, fueled by the pandemic keeping people at home, its an open question as to whether one company will eventually emerge as the dominant force, such as Google, which now has a near-monopoly among search engines. One positive side of this trend is that since it is a virtual platform, the chances of people actually getting physically hurt will lessen, and also it will encourage them to get out of their comfort zone to try new things. The only wondering question left to ask on this matter will be the legal implications of the metaverse. For example, whether a marriage in the metaverse will be legal or if someone is assaulted in the metaverse, how the convict will be penalized. With the virtual avatar trend, there are huge chances of false identity or theft of identity, so recognizing the right person and their physical address can be a difficult job. This should be a major concern for all of the countries and their legislative and crime division.

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Looking at 2030: The Future of Artificial Intelligence and Metaverse - Analytics Insight

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Hello and welcome to Take Five with Automation World. Im David Greenfield, Director of Content, and in this episode well be looking at real world applications of artificial intelligence in industryspecifically the pharmaceutical industryto better understand how this technology can be applied to improve industrial production operations.

For most users of industrial automation technologies, artificial intelligence is not something youll directly interact with. Instead, its used inside various systems to process data at a scale, speed, granularity, and preciseness that cant be matched by humans.

Thats why the application of artificial intelligence is starting to have a significant impact on automation technologies used across industrymost notably with machine vision and analytics. And some of the more impactful applications of AI are happening in the pharmaceutical industries.

And it shouldnt be too surprising that the pharmaceutical industries are looking to optimize production with artificial intelligence, considering that single batch values for some drugs can exceed three million dollars.

Two areas of artificial intelligence applications focused on by pharmaceutical companies include asset performance management using advanced analytics to create manufacturing efficienciesand predictive maintenance systems to analyze failure patterns and provide anomaly alerts and advance warnings of pending equipment failures.

Richard Porter, global director of pharmaceuticals at AspenTech, a supplier of industrial software technologies, says that opportunities to reduce manufacturing costs exist across all stages of the product lifecycle. And advanced analytics can reveal those opportunities, allowing companies to take informed actions to save money. Whether using multivariate analytics to identify process degradation and its impact on qualityor predicting final product quality to reduce lab testing lag times, these techniques offer pharmaceutical companies a competitive advantage.

Porter also noted that multivariate analytics software can be applied to existing data sources in pharmaceutical manufacturing facilitiesnot just to batches in processto analyze and continually monitor how discrepancies in material properties, variations in procedures, and process anomalies such as sensor drift and changing environmental conditions impact the final product.

He said: These tools can help identify and troubleshoot process and product quality issues, increase yields, and reduce off-spec product.

Specific types of equipment that artificial intelligence-driven predictive maintenance systems in the pharma industry have been proven to effectively protect include primary equipment such as air and centrifugal compressors, boilers, pumps, and water purification systems. Artificial intelligence can also be applied to secondary production and packaging equipment such as autoclaves, bead mills, centrifuges, chillers, conveyors, granulators, fluid bed and plate dryers, roller and tablet presses, and spray heads.

Portersaidone pharmaceutical company AspenTech worked with was replacing the mechanical seal in its bead mill every eight batches to prevent batch lossat a cost of twenty-five thousand dollars per replacement. By adopting Aspens Mtell software, which uses artificial intelligence to recognize patterns that can lead to equipment failures, the company was able to reduce supply chain disruptions from seal replacements and cut lifecycle maintenance costs by 60 percent. In addition, the company reduced capital expenditures and associated lifecycle maintenance costs by 50 percent.

Another pharmaceutical application Portercitedrevolved around failures of a purified water system. These failures shut down entire sections of the plant for as long as a week, resulting in the loss of up to 15 batches.

Using Aspens Mtell software to predict pending breakdowns provided the company with thirty five days advance warning of a deionizer failure, allowing staff time to schedule maintenance and prevent production losses.

You can see more information about the application of artificial intelligence-driven analytics in the pharma industry at the URL shown here.

And looking beyond the pharma industry, if youre interested in how artificial intelligence is being applied in supply chain, workforce training, and quality control, watch an earlier Take Five with Automation World video via the URL shown here.

So, I hope you enjoyed thisTake Five with Automation Worldepisode. And please keep watching this space for new episodes to keep you on top of whats happening in the world of industrial automation.

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Artificial Intelligence Applications in the Pharmaceutical Industry - Automation World

UK drone specialist UAVaid and artificial intelligence (AI) specialist Archangel Imaging havesigned an MOU of cooperation for integrating advanced AI capabilities into unmannedaircraft.

The strategic partnership will support the development of technologies integrating edge-based Artificial Intelligence processing into drone navigation systems and onboard aerialcamera image analysis. It is hoped that this development will lead to faster initial response capabilities to large scale natural disasters, such as floods and wildfires, and improvedaccuracy of (drone) aerial surveillance to support wildlife (anti-poaching) and environmental protection.

UAVaid operate a fleet of specialist drones for global development (GD) and humanitarianapplications in remote and difficult to reach areas of the developing world. Archangel Imagings smart devices, such as AI cameras and navigation units, can be retrofitted to other machines to make them smarter and more resilient in challenging environments, from enabling drones to navigate independently in GNSS denied environments to detecting poachers in expansive national parks.

UAVaid technical lead, James Ronen, said the technical collaboration integrating thesecutting-edge technologies will bring new levels of operational capability, increasing accuracyand endurance of drone surveillance and monitoring, and builds on our previous technicalcollaboration with Archangel Imaging.

Charles Smith, commercial lead for Archangel Imaging, said Collaboration is at the heart of everything we do at Archangel Imaging, and we are delighted to announce this formalrelationship with UAVaid. Weve already seen success with UAVaid and this agreement builds a fantastic foundation for the use of AI for good.

UAVaid commercial lead, Daniel Ronen, said we are delighted to further extend our relationship with Archangel Imaging. This agreement follows our recent deployment in West Africa, where we identified numerous use-cases where this direction of technology development could be of potentially game-changing value to the welfare of remotecommunities and environment, particularly in mitigating the impact of climate change.

ARCHANGEL IMAGING LTD.www.archangel.imArchangel Imaging deploys smart machines alongside people to protect valuable remote assets and at-risk staff. Todays machines are mostly tools, not teammates. Our technology is retrofitted to make machines smarter, more resilient teammates, independent from infrastructure. We then integrate best-in-class AI, satellite analytics, robots, drones and IoT into human workflows. These hybrid teams respond faster and more effectively to safety or security threats. The Argonaut AI cameras watch for poachers in Africa or potential suicides on the European railways. The GENIE navigation units enable any drone to independently navigate and complete missions without GPS signals. Our technology is trusted by commercial and government customers such as Ministry of Defence, Network Rail, European Space Agency and British Transport Police and has been recognised with awards, such as AIConics AI for Good award presented at 10 Downing Street.

UAVAID LTDwww.uavaid.comUAVAid are a UK based developer and operator of specialist Unmanned Aerial Systems AKAdrones that are optimised for global development (GD) and humanitarian applications in remote and difficult to reach areas of the developing world. UAVaid was established inLondon in 2014 by two brothers, Daniel and James Ronen. They operate a mixed fleet of BVLOS drones, including their proprietary multi-role HANSARD, which incorporates cargo delivery, mapping and live aerial surveillance, onto a single platform. UAVaid havecompleted projects in Malawi and in 2021 the first-ever medical drone delivery in SierraLeone.

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UK drone specialist UAVaid and artificial intelligence (AI) specialist Archangel Imaging sign MOU of cooperation to integrate advanced AI into drones....

Signaling its ongoing commitment to collaboration in the areas of artificial intelligence and data science, the University of Florida is participating in an academic conference to address the potential of artificial intelligence, robotics and automation in agriculture.

The conference, titled Envisioning 2050 in the Southeast: AI-driven Innovations in Agriculture, is hosted March 9-11 by the Auburn University College of Agriculture and funded by the U.S. Department of Agriculture National Institute of Food and Agriculture.

Conference speakers include Hendrik Hamann, a distinguished research staff member and chief scientist for the future of climate in IBM Research; Mark Chaney, engineering manager of the automation delivery teams at Intelligent Solutions Group at John Deere; Steven Thomson, a national program leader with the USDA National Institute Food and Agriculture; and dozens more.

Speakers from academia, the federal government and industry will share their work in areas such as crop production, plant and animal breeding, climate, agricultural extension, pedagogy, food processing and supply chain, livestock management and more.

The Envisioning 2050 in the Southeast: AI-Driven Innovations in Agriculture conference will bring together academics, industry and stakeholders to share their expertise and develop a vision for the future, said Arthur Appel, interim associate dean of research for the Auburn College of Agriculture. Attendees will be able to learn about the depth and breadth of AI in agriculture from the experts who are making the promise of AI a reality.

Kati Migliaccio, co-organizer of the conference and chair of the Department of Agricultural and Biological Engineering at the University of Florida, said the timing of the conference is perfect.

This is an opportune time to host this conference focusing on AI in agriculture in the Southeast because of the resources invested in AI, the state of innovation of AI in agriculture and the critical need to adapt agriculture for current world challenges, including labor, nutrition, energy and climate, she said.

In November, the chief academic officers of the 14 member universities in the Southeastern Conference (SEC) announced formation of an artificial intelligence and data science consortium for workforce development, designed to grow opportunities in the fast-changing fields of AI and data science.

Believed to be the first athletics conference collaboration to have such a focus, the SEC Artificial Intelligence Consortium enables SEC universities to share educational resources, such as curricular materials, certificate and degree program structures, and online presentations of seminars and courses; promote faculty, staff, and student workshops and academic conferences such as todays event at Auburn; and seek joint partnerships with industry.

Joe Glover, provost and senior vice president for academic affairs at the University of Florida, which is leading the SEC-wide effort, said, AI is changing nearly every sector of society, and the SEC is uniquely positioned to engage students, faculty, and staff in one of the most transformational opportunities of our time. The combined strength of our institutions gives us the opportunity to advance in how we process the future of teaching and learning, research and economic development and how we can provide leadership at this critical moment when AI and data science are changing the way we think about small tasks and big questions.

The Auburn University office of communications and marketing and the SEC communications office contributed to this story.

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Universities meet to discuss future of AI and data science in agriculture - University of Florida