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Telecom Analytics Market Size Worth $10.7 Billion by 2027 | CAGR: 14.5%: Grand View Research, Inc.

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The global telecom analytics market size is projected to reach USD 10.7 billion by 2027, expanding at a CAGR of 14.5% during the forecast period, according to a study conducted by Grand View Research, Inc. Telecom analytics offers business intelligence solutions to the evolving telecommunications sector and also aids in identifying the present situation of the company with respect to its market opposition by identifying progressive trends and predicted parameters.

Key suggestions from the report:

  • The cloud segment is expected to witness a CAGR exceeding 15.0% over the forecast period. Owing to low investment cost, scalability, and agility offered by cloud deployment model, the segment is expected to witness significant growth
  • The solution accounted for over 65.0% of the global market share in 2019, and the segment is expected to witness considerable growth over the coming years. Moreover, the segment is anticipated to continue its dominance as the fastest growing segment during the forecast period
  • Asia Pacific region is expected to grow at a fastest pace expanding at a CAGR exceeding 15.0% over the forecast period, which is accredited to the increasing investments in advanced technologies such as IoT and Big Data in the developing countries including India, and China.

Read 110 page research report with ToC on “Telecom Analytics Market Size, Share & Trends Analysis Report By Component (Solutions, Services), By Application, By Deployment Model (On-premise, Cloud), By Organization Size, By Region, And Segment Forecasts, 2020 – 2027” at: https://www.grandviewresearch.com/industry-analysis/telecom-analytics-market

Increasing use of descriptive and diagnostic analytics to enhance business functions is one of the major factors fueling the growth of the market globally. Big data has become a ubiquitous part of telecom industry because of the huge amount of data being generated every minute through the connected world. About 2.5 quintillion bytes of data is created every day. The enhanced networks coupled with the proliferation of smart devices has facilitated the telecom operators to gain access to a multitude of information about their customers’ preferences and behavior. This, in turn is expected to bolster market growth over the forecast period.

Telecom analytics possesses an ability to formulate strategies associated with cross-sell and up-sell and service and solution plans, thereby helping companies in the sector to obtain value from network resources. In addition, systematic computational analysis of data in the industry is also being leveraged to discover new routes of innovation and build better investor relations. Additionally, systematic computational analysis of data in the telecom industry brings importance in decision making, provides more accurate and actionable insights, ensures competitive benefits to the companies involved, and enable them to plan more efficient cost structure. A massive amount of unstructured data is formed from connected and communication devices, and social media. When this data is converted into a structured data, telecom service providers take out insights about their customer preferences and choices which in turn help them to figure out a customer profile and produce more targeted offers.

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Accordingly, the ability of enterprises to capitalize on the potential of systematic computational analysis of data for the industry is expected to drive the growth of the market. While data analytics companies are experiencing growth, there is a massive shortage of talent. The telecom industry requires skilled data scientists who can understand the technology as well as the business objective of a telecom operator. Data scientists and analytics experts are highly in demand. Hiring new experts or training the existing workforce can cost the organization considerably, and the process of acquiring skills related to systematic computational analysis of data takes significant amount of time, which thereby pose a huge challenge. As a result, this very reason is one of the major factors expected to hinder the growth of the market during the forecast period.

Grand View Research has segmented the global telecom analytics market on the basis of component, deployment model, application, organization size, and region:

  • Telecom Analytics Component Outlook (Revenue, USD Million, 2016 – 2027)
    • Solutions
    • Network Analytics
    • Customer Analytics
    • Subscriber Analytics
    • Location Analytics
    • Price Analytics
    • Service Analytics
    • Others
    • Services
  • Telecom Analytics Application Outlook (Revenue, USD Million, 2016 – 2027)
    • Customer Management
    • Sales and Marketing Management
    • Network Management
    • Risk and Compliance Management
    • Workforce Management
    • Others
  • Telecom Analytics Deployment Model Outlook (Revenue, USD Million, 2016 – 2027)
    • On-premise
    • Cloud
  • Telecom Analytics Organization Size Outlook (Revenue, USD Million, 2016 – 2027)
    • Small and Mid-sized Enterprises
    • Large Enterprises
  • Telecom Analytics Regional Outlook (Revenue, USD Million, 2016 – 2027)
    • North America
      • U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
    • Asia Pacific
      • China
      • India
      • Japan
    • Latin America
      • Brazil
      • Mexico
    • Middle East & Africa
  • List of Key players of Telecom Analytics Market
    • Adobe Systems Incorporated
    • Alteryx, Inc.
    • Cisco Systems, Inc.
    • Dell EMC
    • Hewlett Packard Enterprise Development LP
    • Huawei Technologies Co., Ltd.
    • International Business Machines Corporation
    • Microsoft Corporation
    • MicroStrategy Incorporated
    • OpenText Corporation
    • Oracle Corporation
    • Panaroma
    • SAP SE
    • SAS Institute Inc.
    • Sisense Inc.
    • Subex Limited
    • Tableau Software
    • Teradata Corporation
    • TIBCO Software Inc.
    • Wipro Limited

Find more research reports on Communications Infrastructure Industry, by Grand View Research:

  • Data Center Transfer Switches And Switchgears Market– To avoid power disruption in the data center operations along with the need to control the electrical supply in the data centers is anticipated to drive the market over the forecast period.
  • 5G Testing Equipment Market– Network connectivity remains a rapidly evolving space from 2G to 3G, 4G, and currently 5G. Several industry verticals are aggressively dedicated to technological morphosis to enhance their operational efficiency and productivity in order to sustain in an intensely competitive environment.
  • Millimeter Wave Sensors & Modules Market– Increasing research and development activities in the millimeter wave technology and constantly increasing demand for bandwidth-intensive applications are anticipated to propel the market growth.

Artificial Intelligence

Baxter Planning Wins AI-based SupplyTech Solution of the Year Award 2024

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AUSTIN, Texas, June 13, 2024 /PRNewswire/ — Baxter Planning, the leading provider of Service Supply Chain technology, has been selected as a winner of the AI-based SupplyTech Solution of the Year award for its predictive Service Supply Chain platform, BaxterPredict. The SupplyTech Breakthrough Awards recognize and evaluate the most innovative solutions, services, and companies in the rapidly evolving supply chain space. In 2024 there were thousands of nominations from across the globe.

“We are thrilled to have been awarded the 2024 SupplyTech Breakthrough Award for AI-based SupplyTech Solution of the Year,” stated Chad Hawkinson, Chief Product Officer of Baxter Planning. “Our customers have driven us to make the hype of AI a reality in spare parts management. With our BaxterPredict platform, and specifically our Prophet.ai module, we are applying AI to solve real problems for our customers and the feedback from them has been incredibly positive. Baxter Planning is in the business of helping our customers make predictions, specifically about spare parts demand. By embracing AI, we have found even more powerful ways to save our customers significant money while also improving their ability to meet their own customer’s needs.”
Integration of AI and automation in the Service Supply Chain is crucial for service organizations to maintain competitiveness and meet heightened customer expectations. The BaxterPredict platform enables companies to optimize operations, enhance efficiency, and improve accuracy in demand forecasting and inventory management.
One aspect of BaxterPredict is its new AI-enabled module, Prophet.ai. This new module utilizes AI to eliminate the guesswork associated with New Product Introduction (NPI) and Last-Time-Buy (LTB) decisions for Service Supply Chains, saving them significantly.
As the industry faces increasing pressure to provide better service at lower costs, embracing these innovations is essential for sustaining growth and achieving operational excellence.
The Baxter Planning team has been dedicated to partnering with its Service Supply Chain customers and has found real value and opportunity with the judicial application of AI into its already best-of-breed products. The company plans to invest further in AI for a variety of use cases to truly optimize Service Supply Chains.
Learn more at baxterplanning.com.
About Baxter Planning
Baxter Planning is the world leader in Service Supply Chain technology. Global customers with even the most complex service operations trust our team to help them set the spare parts plan, manage the order execution, and streamline escalation management.
The company’s end-to-end predictive platform, BaxterPredict, transforms Service Supply Chains using best practices, AI/ML, and domain expertise to drive cost reduction, increase resiliency, refine optimization, and enable end-to-end visibility control. Baxter Planning customers see reduced spend in inventory, logistics, and operations while increasing their customer satisfaction. Headquartered in Austin, Texas, Baxter Planning is used by some of the largest global high-tech, healthcare, commercial, and industrial OEM businesses.
Baxter Planning is a portfolio company of Marlin Equity Partners, a global investment firm with approximately $9 billion in capital commitments. The firm is headquartered in Los Angeles, California with an additional office in London. For more information, please visit www.marlinequity.com.
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AI Development Accelerates: Market Watch on Emerging AI Innovations

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USA News Group CommentaryIssued on behalf of Scope AI Corp.
VANCOUVER, BC, June 13, 2024 /PRNewswire/ — The future of artificial intelligence (AI) is unfolding before our eyes. Actions made today will undoubtedly pave the way for the AI road ahead, with calls for more AI regulation, energy and grid security, and AI employee protections. All the while, investment in AI is surging, with Generative AI Venture Capital Investment on track to reach $12 billion in 2024, according to analysts at EY. Meanwhile McKinsey is predicting that generative AI alone could generate $2.6 trillion to $4.4 trillion in value across industries. This is why the market is keen on monitoring the advancements of AI developers, including Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Alphabet Inc. (NASDAQ: GOOG, GOOGL), Microsoft Corporation (NASDAQ: MSFT), and Amazon.com, Inc. (NASDAQ: AMZN).

With rapid advancements in deep machine learning, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market focus. The company is now directing its state-of-the-art GEM (General Enterprise Machine Learning) technology towards crucial sectors such as advertising, gaming, and neural networks.
Their ongoing development of GEM is working toward enabling businesses to create custom object detection and visual information systems, harnessing the full potential of neural networks. Scope AI’s strategic efforts aim to transform the fields of advertising personalization, gaming enhancements, and the various applications of neural networks.
Recently, Scope AI has unveiled significant enhancements to GEM, aimed at improving services for advertising agencies and the gaming sector. These upgrades allow GEM to refine advertising content and boost gameplay experiences with sophisticated neural network features. The improvements also strengthen the platform’s object visual recognition capabilities, enabling businesses to gain more profound insights and deploy more accurate solutions. With better object detection and visual information systems, advertisers can more effectively analyze consumer behavior and optimize their campaigns, while game developers can craft more engaging and immersive user experiences.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”
Scope AI has introduced significant upgrades to their GEM platform, aiming to revolutionize the advertising and gaming industries with new advanced features and deeper insights. The intuitive web interface of GEM allows users—from developers to large enterprises—to easily implement sophisticated object detection systems and develop real-time neural network models.
In the advertising sector, GEM’s enhanced visual recognition technology facilitates the creation of highly targeted and engaging advertisements. This advancement leads to more efficient ad spending and higher customer engagement levels, transforming how ads are crafted and delivered.
For the gaming industry, Scope AI’s GEM platform is set to redefine player experiences. By analyzing player behavior through neural networks, GEM customizes gameplay and recommendations, providing developers with critical insights to improve game design, enhance player retention, and generate new revenue streams. These upgrades position GEM as a crucial tool for both industries, offering innovative solutions and driving forward technological progress.
In what seems to be a controversial move, Meta Platforms, Inc. (NASDAQ: META) is reportedly set to use social media posts from Europe to train its Llama large language models. In an interview with Reuters, Meta’s top policy executive said that the company uses public Facebook and Instagram posts to train its Llama models, while excluding private posts and messages shared only with friends.
Also noteworthy, is a CNBC report that claims an investment firm called IFiAI that uses IBM’s Watsonx to help make projections about the short-term directions of stocks, has predicted big upside in Meta Platforms in the coming month. One of the new announcements already shared this month, is the plan for Meta to introduce free AI chatbots on its popular WhatsApp messenger platform.
“They need to find a way to show investors with some degree of conviction that there is a there there,” said Mark Shmulik, an analyst for Bernstein. “An AI-powered chatbot inside of business messaging feels like a great place to deploy it. You might be able to find product market fit sooner than you will on smart glasses.”
Google parent Alphabet Inc. (NASDAQ: GOOG, GOOGL) launched a flurry of announcements in May that demonstrated the tech giant’s ambitions to beef up its AI search and chatbot options. Google’s latest innovations include the addition of Flash to its Gemini 1.5 AI model family, designed to be faster and more cost-effective. Another breakthrough is Project Astra, a prototype capable of conversing with users about anything their smartphone camera captures in real time. Additionally, Google has introduced search results organized under AI-generated headlines.
“This is a moment of growth and opportunity,” said Sundar Pichai, CEO of Alphabet, when asked if the AI updates could risk Google’s profitable business.
Additionally, Google is introducing AI Overviews to all U.S. users for its search function this week, following extensive public testing since last year’s I/O event. This feature leverages generative AI to compile information and address more complex queries that lack straightforward answers on the web.
“The AI Overviews launch reception this week will be an indicator of how well Google can adapt its Search product to meet the demands of the generative AI era,” said Jacob Bourne, analyst of eMarketer. “To maintain its competitive edge and satisfy investors, Google will need to focus on translating its AI innovations into profitable products and services at scale.”
After an outcry regarding privacy concerns, Microsoft Corporation (NASDAQ: MSFT) recently backtracked on a plan to have its new AI-powered PCs utilize a “Recall” feature that would capture and store screenshots of users’ desktop activities. Moving on from the controversy, it appears Microsoft is now considering a big new software bundle plan to monetize AI features in its popular productivity software suite Microsoft 365, according to sources as reported by Business Insider.
Meanwhile, the market is paying close attention to an ongoing investigation by the Federal Trade Commission (FTC) regarding a deal with AI startup Inflection. The FTC is investigating whether Microsoft’s investment in Inflection should have been classified as an acquisition that the company failed to disclose to the government, according to a source reported by CNN.
“Our agreements with Inflection gave us the opportunity to recruit individuals at Inflection AI and build a team capable of accelerating Microsoft Copilot, while enabling Inflection to continue pursuing its independent business and ambition as an AI studio,” said a Microsoft spokesperson in a statement to CNN, adding that the company is “confident” it has complied with its reporting obligations.
For eCommerce and data center giant Amazon.com, Inc. (NASDAQ: AMZN), its subsidiary Amazon CloudWatch recently announced the general availability of natural language query generation powered by generative AI for Logs Insights and Metrics Insights. This feature allows users to effortlessly create queries within the context of their logs and metrics data using plain language. By streamlining the query generation process, it enables the user to quickly derive insights from observability data without requiring deep knowledge of the query language.
Amazon’s subsidiary Amazon Web Services (AWS) also recently debuted 2 new AI certifications to train more people and give them an edge in the pursuit of the growing number of in-demand cloud jobs. The AWS certifications include the AWS Certified AI Practitioner foundation-level certification, and the AWS Certified Machine Learning Engineer – Associate certification for individuals with at least a year of experience building, deploying, and maintaining AI and ML solutions on AWS. To date, AWS provides over 100 courses and learning resources in AI, ML, and generative AI through AWS Skill Builder and AWS Educate, equipping learners for the future of work.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 
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DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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SciBase welcomes new chairman and thanks the former

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STOCKHOLM, June 13, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), SciBase, a leading developer of AI-based solutions for skin diseases, today announces the election of Jesper Høiland as the new Chairman of the Board.

We are pleased to announce the election of Jesper Høiland as the new Chairman of the Board. Jesper has over 25 years of experience from senior positions in global pharmaceutical companies such as Ascendis Pharma (CCO), Radius Health (CEO) and Novo Nordisk (President and EVP for the US with a particular focus on pricing, product launches and infrastructure building). Jesper has lived and worked in the US, Switzerland, Denmark, Australia, France, Belgium and Canada for the past 30 years. 
“We are happy about the election of Jesper Høiland as the new Chairman of our board,” says Pia Renaudin CEO of SciBase. “He will bring valuable insights and experience especially from the US market, which is our primary focus. We also welcome, as previously communicated, Robert Molander as new member of the Board.”
In addition, we would like to extend our gratitude to Tord Lendau for his commitment and invaluable contributions during his lead as Chairman of the Board. Tord has been a member of the board since 2014. During this time SciBase has made significant progress in navigating challenging regulatory processes and market environments and has reached profitability in Germany through growing sales of Nevisense and electrodes. Nevisense remains the only melanoma detection product approved in the US. The foundation for further growth has been laid.
“We extend our deepest thanks to Tord for his exceptional leadership and commitment to SciBase,” says Pia Renaudin. “He has been instrumental in SciBase progress. I also want to take the opportunity to thank both Dr Matt Leavitt and Jvalini Dwarkasing for their support in driving SciBase forward as they now retire as members of the Board.”
SciBase is excited about the future and remains committed to become the standard of Care in the areas we work in. We look forward to achieving new milestones and providing our AI driven technology to clinicians so they can improve and save lives through timely detection and intervention at the first signs of skin diseases and to reduce healthcare costs.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected] Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases 
This information was brought to you by Cision http://news.cision.com.
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