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Knowledge Graph Market worth $2.4 billion by 2028 – Exclusive Report by MarketsandMarkets™

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CHICAGO, Oct. 31, 2023 /PRNewswire/ — The growing significance of structured data and the growing use of knowledge graphs across many industries will determine the direction of the Knowledge Graph Market in the future. Knowledge graphs will continue to be an important and crucial component of data strategies used by organisations as they work to get valuable insights from their data and realise its full potential.

 
The Knowledge Graph Market size is projected to grow from USD 0.9 billion in 2023 to USD 2.4 billion by 2028, at a CAGR of 21.8% during the forecast period, according to MarketsandMarkets. As data ecosystems become more complex, organizations are seeking advanced tools and technologies to manage and derive value from diverse and interconnected data sources. Knowledge graphs provide a comprehensive view of complex data relationships, helping organizations gain insights and derive actionable intelligence from their data ecosystems.
Browse in-depth TOC on “Knowledge Graph Market”
300 – Tables 50 – Figures350 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2018-2028
Base year considered
2022
Forecast period
2023–2028
Forecast units
Value (USD) Million/Billion
Segments Covered
Offering (Solutions and Services), Model Type (RDF Graph, Conceptual Graph, and Semantic Graph), Data Source (Structured Data, Unstructured Data, and Semi-structured Data), Application (Semantic Search, Question Answering, Recommendation Systems, Enterprise Knowledge Management, Other Applications), Type (Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, NLP Knowledge Graphs), Vertical, and Region
Region covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
Companies covered
IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria)
 
Based on application, the semantic search segment holds the largest market size during the forecast period
Semantic search application is the driving force behind improved search functions and user experiences in the ever-changing Knowledge Graph Market. It provides previously unheard-of levels of search accuracy by understanding the complex subtleties of user queries, making it easy for users to locate extremely relevant and contextual information. They enable users to effortlessly explore interconnected content by supporting natural language inputs and understanding sophisticated queries, creating a more intuitive and user-friendly search experience.
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Based on application, the recommendation systems segment is expected to grow with the highest CAGR during the forecast period
The Knowledge Graph Market is changing as a result of the synergy between recommendation systems and knowledge graphs. Personalized content recommendations, which make use of past data and user preferences, are now considered the standard for user engagement. Recommendation systems have also improved search functionality through integration, making it possible to explore relevant topics and resources more thoroughly and effectively. This has completely changed the way users approach acquiring knowledge, especially when combined with the facilitation of contextualized training and learning. Predictive analytics and trend forecasting, in particular, have made it possible for companies to plan ahead and make well-informed decisions that meet changing market demands. Furthermore, recommendation algorithms provide a widespread knowledge of intricate ideas through cross-domain information integration, which in turn promotes multidisciplinary cooperation in the Knowledge Graph Market.
Asia Pacific is expected to expected to grow with the highest CAGR during the forecast period
The Knowledge Graph Market in Asia Pacific is highly competitive, as the China, India and Japan have a strong focus on Research and Development (R&D) and innovation. The Asia Pacific digital economy is expanding and experiencing growing regional demand. The technology industry, including mobile, social networking, cloud, and IoT, in the region, is rapidly developing and disrupting. As a manufacturing hub, Asia Pacific should widely adopt knowledge graph solutions and services to remain cost-efficient and export high-quality items to other countries. Companies operating in APAC continue to focus on improving customer services to drive market competitiveness and revenue growth. APAC countries have one of the strongest chances of making rapid advancements in the consumer market. The major industry verticals that are adopting knowledge graph technologies include financial services, healthcare, retail, and manufacturing. Overall, the Asia Pacific Knowledge Graph Market is expected to continue to grow rapidly in the coming years, as organizations in the region increasingly realize the benefits of these technologies.
Top Key Companies in Knowledge Graph Market:
The Knowledge Graph Market comprises major providers, such IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria). To increase their market share in the knowledge graph industry, these competitors have used a variety of growth methods, including partnerships, agreements, collaborations, new product releases, product enhancements, and acquisitions.
Recent Developments
In February 2023, IBM acquired StepZen, which developed a GraphQL server with a unique architecture that helps developers build GraphQL APIs quickly and with less code. StepZen was also designed to be highly flexible. It is compatible with other API approaches and is available Software-as-a-Service (SaaS) while supporting deployments in private clouds and on-premises data centers.In May 2023, AWS partnered with Neo4j , which defined the graph space and open-source standards. Neo4j holds the AWS Data and Analytics Competency.In April 2023, Neo4j announced a partnership with Imperium Solutions to fulfill the growing demand for graph technology in Singapore. Imperium Solutions will ensure customers can gain maximum value from the world’s leading graph database provider, Neo4j, which helps solve complex, enterprise-level problems and efficiently uncovers relationships and patterns in expansive datasets.In May 2023, Accenture has made a strategic investment through Accenture Ventures in Stardog, a leading enterprise knowledge graph platform enabling organizations to do more with and achieve greater value from their data in this age of generative artificial intelligence (AI). Stardog Enterprise Knowledge Graphs, with their ability to make real-world context machine-understandable, are used by companies to facilitate better enterprise data integration and unification. Instead of integrating data by combining tables, data is unified using a knowledge graph’s ability to endlessly link concepts without changing the underlying data.Inquire Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=217920811
Knowledge Graph Market Advantages:
Knowledge graphs facilitate access to and analysis of information kept in different silos by integrating data from a variety of sources, formats, and disciplines. This allows for a more thorough analysis of the data.Knowledge graphs give data a semantic overlay that enables systems to comprehend the context and meaning of information. Applications for machine learning, natural language processing, and more sophisticated search are made possible by this.It is now simpler to extract pertinent data from huge, complicated datasets because to knowledge graphs’ robust querying capabilities, which facilitate intricate, graph-based searches.Systems can better understand data in context with the use of knowledge graphs, which encapsulate the relationships and context between items. Decision assistance, recommendation systems, and personalization can all benefit from this.Knowledge graphs offer an integrated perspective on data, enabling academic institutions to derive insights spanning many fields and specialisations, hence stimulating creativity and interdisciplinary teamwork.Existing data can be improved and made more comprehensively analyzeable by adding more context and metadata to it through the use of knowledge graphs.Knowledge graphs help link articles, webpages, and documents to related concepts and entities in the digital content domain, which enhances content discoverability and recommendation systems.Building recommendation engines—which may offer people individualised content, goods, or services based on their interests and behavior—requires the use of knowledge graphs.Report Objectives
To determine, segment, and forecast the global Knowledge Graph Market by offering, model type, application, type, vertical, and region in terms of value.To forecast the size of the market segments to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo provide detailed information about the major factors (drivers, opportunities, threats, and challenges) influencing the growth of the Knowledge Graph MarketTo study the complete value chain and related industry segments and perform a value chain analysis of the Knowledge Graph Market landscape.To strategically analyze the macro and micro markets to individual growth trends, prospects, and contributions to the total Knowledge Graph MarketTo analyze the industry trends, pricing data, patents, and innovations related to the Knowledge Graph Market.To analyze the opportunities for stakeholders by identifying the high-growth segments of the Knowledge Graph MarketTo profile the key players in the market and comprehensively analyze their market share/ranking and core competencies.To track and analyze competitive developments, such as mergers & acquisitions, product launches & developments, partnerships, agreements, collaborations, business expansions, and Research & Development (R&D) activities.Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
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About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Aashish MehraMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Insight: https://www.marketsandmarkets.com/ResearchInsight/knowledge-graph-market.aspVisit Our Website: https://www.marketsandmarkets.com/Content Source: https://www.marketsandmarkets.com/PressReleases/knowledge-graph.asp
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Rainbow Robotics begins pre-orders of Bimanual Mobile Manipulator RB-Y1, the world’s first research platform for AI experts for $80,000 USD

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DAEJEON, South Korea, May 9, 2024 /PRNewswire/ — Rainbow Robotics(CEO Jungho Lee), a robot platform specialized company, will begin pre-orders for the Bimanual Mobile Manipulator RB-Y1 from May 8.

During the pre-order period, the research platform is sold for $80,000 USD and the commercial platform is sold for $120,000 USD (VAT excluded). Products are scheduled to be delivered sequentially starting in October.
RB-Y1 is a research platform that has both arms with 7 degrees of freedom per arm for smooth movements similar to human movements. It is a humanoid-like robot with a single leg with 6 degrees of freedom on a mobile platform for a wide work radius. The LiDAR system is adopted for autonomous movement, and a high-performance 3D recognition sensor and master ARM are provided as options to increase usability. In line with the recent trend of the AI era, Rainbow Robotics plans to provide various APIs and options so that AI developers can easily utilize them for research purposes.
Recently, various organizations are introducing humanoid robots. However, they are only used for their own purposes and there is no standard platform for various AI robot researchers. Rainbow Robotics’ RB-Y1 is the first to commercially sell such a research platform.
Unlike existing simple industrial robots, a Bimanual Mobile Manipulator is a humanoid robot that uses both arms and is suitable for advanced manufacturing sites and services. It is a next-generation robot platform that can be used for complex assembly, manufacturing, and collaboration beyond existing simple automation processes.
If you would like to pre-order RB-Y1, please contact us through enquiry page or email us at [email protected].
Meanwhile, Rainbow Robotics will participate as a bronze sponsor in the IEEE International Conference on Robotics and Automation (ICRA 2024), which will be held at Pacifico Yokohama, Japan on May 13.
During the exhibition, various demonstrations will be shown of controlling RB-Y1 with real-time remote operation technology, which links the data arm and simulation system. Additionally, Rainbow Robotics plans to exhibit the small, high-precision collaborative robot RB3-730 and the quadruped robot RBQ-10.
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AgriBusiness Global™ Announces 2024 Event Line-Up: Connecting Crop Input Leaders Worldwide

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WILLOUGHBY, Ohio, May 8, 2024 /PRNewswire/ — AgriBusiness Global, the premier business source for leaders in the global crop input value chain, is thrilled to announce its lineup of events for 2024. For 37 years, AgriBusiness Global has been the go-to resource for quality, trustworthy information and analysis, leading the industry in providing the next generation of crop solutions covering synthetic crop protection, biologicals, and plant health.

In 2024, AgriBusiness Global will host three events, each designed to connect industry leaders, promote innovation, and drive business growth:
AgriBusiness Global℠ LATAM Conference Date: 14-15 MayLocation: Panama City, Panama
Capitalizing on Emerging Technologies in LATAM
The ABG LATAM Conference will bring together industry experts and influencers to discuss the latest trends and developments in crop protection, plant health, biologicals, and ag technology specific to the Latin American region. The Latin-American market offers new opportunities for business growth and partnerships with leading players in the region. Learn More>
AgriBusiness Global℠ Trade Summit Date: 7-8 AugustLocation: Orlando, Florida, USA
The #1 Global Agribusiness Event- Dedicated to Worldwide Networking and New Business Development               
The ABG Trade Summit is the trusted forum for advancing development in the rapidly emerging global crop protection, ag tech, plant health, and biological sectors. Attendees can expect to meet with the world’s leading manufacturers, exporters, trading companies, sellers, formulators, and consultants.  Trade Summit facilitates global trade by offering educational sessions, a robust exhibit floor, private meeting rooms, and dedicated networking opportunities for the world market to connect, engage, and build business. Learn More>
AgriBusiness Global℠ SE Asia ConferenceDate: 6-7 NovemberLocation: Jakarta, Indonesia
Empowering Southeast Asia’s AgriBusiness for Global Impact
The ABG Southeast Asia Conference, produced in cooperation with the Indonesian CropCare Association, will showcase cutting-edge technologies and innovations in crop production, addressing the unique challenges and opportunities in the Southeast Asian market. Attendees will gain unique insights to prepare for the future and navigate the present in the rapidly evolving agricultural market. Learn More>
“Our events are dynamic platforms for industry leaders to connect, collaborate, and drive innovation,” said Eric Davis, Group Director at AgriBusiness Global. “We are excited to bring together the brightest minds in the industry to explore new ideas, foster partnerships, and shape the future of agriculture.”
For information about the 2024 events and how to participate, visit AgriBusinessGlobal.com.
About Meister Media Worldwide
For media inquiries, please contact:Amy Reddington, Show Director
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Economic Shifts Ahead as AI Integrates Deeply into Work and Society, Fueling $4.4 Trillion Growth

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USA News Group News Commentary
Issued on behalf of Scope AI Corp.
VANCOUVER, May 8, 2024 /PRNewswire/ —  USA News Group News Commentary – New developments in AI technology are currently changing the face of work, economies, and society as we know it, according to analysts at McKinsey & Company who are projecting generative AI (gen AI) could add $4.4 trillion annually to the global economy. Between January and March of this year alone, the world’s largest cloud-computing giants have collectively invested $40 billion mostly into data centres equipped to deal with growing AI workloads, according to The Economist. The shift is leading experts to witness how AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS, representing a $4.6 trillion opportunity. A variety of tech companies have recently advanced the integration of AI, providing swift, safe, and cost-effective solutions for businesses to adopt artificial intelligence technology this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Apple Inc. (NASDAQ: AAPL), and C3.ai, Inc. (NYSE: AI).

The article continued: Seeing the extraordinary speed of AI’s advancements and impacts, combined with surging private- and public-sector demand, is causing regulators in the USA and EU to issue legislation calling for action. Now analysts are trying to determine whether the GenAI boom is setting up to be another bubble, or a legitimate long-term investment opportunity.
SCOPE AI PROVIDES CORPORATE UPDATE
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) (“Scope” or the “Company”) today provided an update  on new developments of Scope’s artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system. Built on advanced visual recognition and neural network technology, GEM could advance industries, including Advertising and Gaming, by providing them with new insights and capabilities.
Advertising: GEM aims to enable advertising businesses to personalize ad content based on real-time user behavior analysis. By leveraging visual recognition technology, companies can create highly targeted and engaging ads, maximizing return on ad spend and driving customer engagement to new heights.
Gaming:  In the gaming industry, GEM aims to enhance user experiences by customizing gameplay and recommendations. By analyzing player behavior using neural networks, GEM provides customers and developers with invaluable insights with the intention of optimizing game design, increasing user retention, and maximizing revenue potential.
Unveiling Neural Networks: Neural networks are the foundation of GEM’s technology. These complex algorithms mimic the structure and functionality of the human brain, enabling machines to learn from vast amounts of data and make intelligent predictions and decisions. By harnessing the power of neural networks, GEM offers comprehensive capabilities in advanced pattern recognition, data analysis, and decision-making across industries.
“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 AI. “The next generation of our platform will set us apart in the kind and sensitivity of data we can process and store. It’s a potential game-changer for the industry.”
Scope’s GEM platform includes advanced features designed to enhance user experience and security, all while streamlining operations. Built-in customer support and user management modules allow for seamless assistance, while the native referral system fosters user engagement and growth. Along with the full admin suite for comprehensive analysis and reporting, businesses are fully empowered with unparalleled capabilities and insights.
CONTINUED… Read this and more news for Scope AI at:  https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market this week include:
Meta Platforms, Inc. (NASDAQ: META), the parent company of Facebook, Instagram, and WhatsApp, recently teamed up with the Georgia Institute of Technology to create a massive open dataset to advance AI solutions for carbon capture, a technology with promising potential to address global climate concerns. As per the collaboration, Georgia Tech and Meta say their massive database could potentially make it easier and faster to design and implement new direct air capture technologies.
“The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations,” said Georgia Tech in a press release. “The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.”
Researchers at Meta’s Fundamental AI Research (FAIR) team were already looking for ways to harness their machine-learning prowess to address climate concerns. They ultimately landed on direct air capture as what they believed to be a promising technology, and immediately reached out to Georgia Tech. FAIR’s lead authors generated the database by running quantum chemistry computations on inputs provided by Georgia Tech’s team, using about 400 million CPU hours along the way, and surpassing several hundreds of times more computing than the average academic computing lab can do in a year.
Amazon.com, Inc. (NASDAQ: AMZN) through its global Amazon Web Services (AWS) cloud system subsidiary recently rolled out its new AI system called Q, which it has dubbed as “the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.”
As well, Amazon also recently launched its Custom Model Import for Bedrock tool, which CEO Andy Jassy called a “sneak big launch as it satisfies a customer request we’ve heard frequently and that nobody has yet met.” The tool allows customers to import custom models they’ve built in Amazon SageMaker into tits Amazon Bedrock platform. Doing so lets enterprises utilize AI investments they’ve already made, while also leveraging Bedrock’s capabilities to scale their models and applications.
“Customers are excited about this, and as more companies find they’re employing a mix of custom-built models along with leveraging existing LLMs,” said Jassey. “The prospect of these two linchpin services in SageMaker and Bedrock working well together is quite appealing.”
Apple Inc. (NASDAQ: AAPL), whose iPhones currently hold the Top 4 (and 5 of the Top 10) best-selling smartphone models by sales, recently reported an all-time revenue record in sales in its most recent financial results. While being seen as potentially late to the game on AI, several reports in recent weeks has suggested that Apple is not only talking to OpenAI and/or Google about powering some of its AI features, it’s also been reportedly spending “millions of dollars a day” training its own AI model, called Ajax.
Now industry experts are saying the iPhone is about to become an “AI phone”, in anticipation of Apple’s upcoming iOS 18. A key anticipated feature of iOS 18 is Apple’s own large language model (LLM), similar to the technology behind AI chatbots like ChatGPT. It’s widely speculated that this Apple-developed LLM will be integrated with Siri, enhancing the capabilities of the iPhone’s digital assistant. As indicated by Bloomberg in late April, it’s suggested that Apple’s  LLM will be entirely on-device, meaning the tech will be powered inside by the iPhone’s processor, rather than in the cloud—which may be a bit less powerful and knowledgeable, but with far quicker response times.
C3.ai, Inc. (NYSE: AI), an Enterprise AI application software company, is actively working to enhance the petroleum industry in Houston, through a cooperative effort that allows oil and gas companies to share AI technology and applications with each other. This effort is meant to curb companies from withholding information from competitors, with the goal of collaboration instead.
“We’re building the applications that are, you know, monitoring every device on every offshore oil rig in real time so that they can see with 18 hours in advance before something fails and just shut it down,” said Tom Siebel, CEO of C3.ai. Siebel has explained that AI is at work in oil and gas, diagnosing issues and assisting with maintenance, giving the example of a giant like Shell uses AI to track their half a million valves around the world.
“They can see what’s going on,” said Siebel. “They can predict when a valve is going to be stuck open or closed before it happens, and if one of these valves gets stuck open or closed, things go real bad, real fast, right? And so, they’ve decided to make these applications available to Aramco, Eni, Chevron, Phillips.”
A recent report from Research and Markets predicted that the global AI in oil and gas market is expected to surge to an impressive $5.96 billion by 2028, growing at a CAGR of 13.3%.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
 CONTACT:USA NEWS [email protected](604) 265-2873
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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