Issued on behalf of Scope AI Corp.
VANCOUVER – USA News Group – Generative artificial intelligence (AI) is now the most frequently deployed form of AI among enterprises, according to a new survey from Gartner researchers. Businesses are also increasingly adopting AI-as-a-service models to stay competitive, allowing these companies to leverage advanced AI capabilities without significant infrastructure investment. Behind the scenes, several tech developers are working diligently to facilitate these shifts, presenting an early-mover advantage in the AI revolution for retail investors, including recent developments from Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Salesforce, Inc. (NYSE: CRM), Atlassian Corporation (NASDAQ: TEAM), Snowflake Inc. (NYSE: SNOW), and EPAM Systems, Inc. (NYSE: EPAM).
As deep machine learning continues to evolve rapidly, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has undergone a rebranding and realignment of its market focus. The company now targets key sectors such as advertising, gaming, and neural networks with its advanced GEM (General Enterprise Machine Learning) technology.
The tech developer’s ongoing development of GEM is geared towards helping businesses develop custom object detection and visual information systems, to fully leverage the capabilities of neural networks. Scope AI's strategic initiatives are designed to begin to potentially revolutionize advertising personalization, gaming improvements, and various neural network applications.
Recently, Scope AI introduced major enhancements to GEM with the aim to potentially better serve advertising agencies and the gaming industry. These updates are meant to enable GEM to optimize advertising content and elevate gameplay experiences through advanced neural network functionalities. The platform's improved object visual recognition capabilities are building towards allowing businesses to gain deeper insights and implement more precise solutions. As a result, advertisers will be able to better analyze consumer behavior and refine their campaigns, while game developers can create more captivating 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 AI. “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 so far unveiled major enhancements to their GEM platform, poised to transform both the advertising and gaming sectors with cutting-edge features and deeper analytical insights. The user-friendly web interface of GEM empowers everyone from developers to large enterprises to effortlessly deploy advanced object detection systems and create real-time neural network models.
In advertising, GEM's upgraded visual recognition capabilities work to enable the development of highly targeted and compelling ads. This innovation optimizes ad spending and significantly boosts customer engagement, revolutionizing the way advertisements are designed and delivered.
In the gaming realm, the GEM platform is set to revolutionize player experiences. By utilizing neural networks to analyze player behavior, GEM tailors gameplay and recommendations, offering developers essential insights to refine game design, increase player retention, and unlock new revenue opportunities. These advancements are building towards positioning GEM as an indispensable tool in both industries, driving technological progress and offering innovative solutions.
After reportedly saving 50,000 hours of work using AI, leading AI Customer Relationship Management (CRM) titan Salesforce, Inc. (NYSE: CRM) recently launched unified data and generative AI to its Consumer Goods Cloud, further demonstrating its momentum into AI-powered solutions. Salesforce’s Consumer Goods Cloud is an industry-specific solution designed to help consumer goods enterprises optimize their route-to-market processes, unifying trade promotion management and retail execution capabilities onto a single platform to help headquarters and field teams collaborate seamlessly.
“Consumer goods companies are laser focused on profitable growth,” explained Rob Garf, VP and GM of Retail and Consumer Goods at Salesforce. “Now, with the latest Salesforce innovations for Consumer Goods Cloud, they can unify consumer and customer data to plan promotions with precision, give every field rep the tools to increase sales and reduce downtime while onsite, and infuse trusted AI into the flow of work for every service agent to solve problems and upsell more frequently. In short, every consumer goods company can now transform into an AI Enterprise.”
With the increase of work-from-home arrangements over the last 5 years, Australia’s Atlassian Corporation (NASDAQ: TEAM) is adamantly placating fears that AI is coming to take everyone’s jobs. Within its recent report dubbed The State of Teams, Atlassian is extolling the benefits of AI adoption in the workplace to increase efficiency, but not necessarily to replace human workers.
“Work is going to change, there’s no question in my mind about that," said Molly Sands, Head of Team Anywhere Lab for Atlassian. "But will it eliminate everyone’s job? No”.
Last year, Atlassian introduced new AI features to its teamwork software, such as meeting summarization notes and a chatbot trained in delving into a company’s knowledge base. Because clients use Atlassian’s software to track and document projects, the company is in a unique position to use AI to help knowledge workers dramatically increase their productivity.
"Because we know teams across their entire life cycle, we can get very good at surfacing the information and tasks that need to get done," said Scott Farquhar, co-founder of Atlassian in an interview with Reuters. "Their life just gets way more productive rather than spending their day chasing what needs to get done and what they have to read."
AI Data Cloud company Snowflake Inc. (NYSE: SNOW) recently announced new innovations to its Snowflake Cortex AI offering, that unlock the next wave of enterprise AI for customers with easy, efficient, and trusted ways to create AI-powered applications. As well, Snowflake is accelerating the path for operationalizing models with an integrated experience for machine learning (ML) through its Snowflake ML, which enables developers to build, discover, and govern models and features across the ML lifecycle. Together, Snowflake’s unified platform for generative AI and ML allows every part of the business to extract more value from their data, while enabling full security, governance, and control to deliver responsible, trusted AI at scale.
"Snowflake is at the epicenter of enterprise AI, putting easy, efficient, and trusted AI in the hands of every user so they can solve their most complex business challenges, without compromising on security or governance," said Baris Gultekin, Head of AI, Snowflake. "Our latest advancements to Snowflake Cortex AI remove the barriers to entry so all organizations can harness AI to build powerful AI applications at scale and unlock unique differentiation with their enterprise data in the AI Data Cloud."
Leading digital transformation services and product engineering company EPAM Systems, Inc. (NYSE: EPAM) recently announced the acquisition of top health data analytics company Odysseus Data Services to expand its ability to transform the life sciences value chain through advanced data analytics, data methods, and AI.
The newly-acquired Odysseus generates healthcare data insights and evidence for clients through skilled data science and analytics, software engineering and data management and ontology and vocabulary management. It’s focused on a standardized and systematic approach to healthcare data analytics as the foundation for a better understanding of the inner workings of healthcare interventions in drug treatment, safety, and efficacy, as well as epidemiological research, provider support, quality measurements, and cost reduction.
"With their strong capabilities in Real-World Evidence and Real-World Data — the 'glue' between multiple segments of the life sciences value chain — our natural synergies [with Odysseus] make this an exciting time to add this to our portfolio to help our clients achieve better outcomes," said Greg Killian, Senior Vice President of Life Sciences at EPAM. "We see the next wave of innovation based on standardized data powering AI and GenAI to improve life sciences research, clinical studies and post-market surveillance. Based on the combined strengths of EPAM and Odysseus, we are well positioned to lead that innovation."
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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