AI Tools Archives - AiThority

iCardio.ai Partners With Major PACS UltraLinQ to Enhance Ultrasound Imaging Interpretation

PRNewswire — Mon, 08 Jan 2024 14:34:58 +0000

Marks a significant milestone in the world of medical imaging and technology as iCardio.ai, a leading innovator in AI-driven ultrasound interpretation, announces a strategic partnership with UltraLinQ, a major PACS (Picture Archiving and Communication Systems) software provider.

This collaboration is set to revolutionize the way ultrasound images are interpreted and distributed, combining iCardio.ai’s cutting-edge automated AI tools with UltraLinQ’s robust image viewer and advanced reporting platform. The partnership aims to deliver a substantial leap in quality, efficiency, accuracy, and speed in ultrasound image interpretation, benefiting healthcare providers and patients alike by leveraging the latest in artificial intelligence.

“We are thrilled to partner with UltraLinQ, a company that shares our vision for innovation and excellence in medical imaging,” explains Joseph Sokol, CEO of iCardio.ai. “Together, we are setting a new standard for ultrasound interpretation and distribution, ensuring that healthcare providers have access to the most advanced tools available.”

“UltraLinQ is committed to providing our users with the best possible solutions for image management, reporting, and distribution,” said Theo Vouniseas, Chief Financial & Operations Officer of UltraLinQ. “By augmenting our system with iCardio.ai’s AI tools, we are enhancing the value of our services and delivering on our promise of excellence. Our partnership with iCardio.ai will provide our users with advanced AI tools that can help assess quality of exams, automate workflows, and will assist them in providing the highest quality of healthcare to their patients.”

This partnership is expected to have a profound impact on the cloud PACs and cardiology healthcare industry over the new few years by providing helpful insights into echo quality and efficiencies in evaluation and diagnosis.

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Co2Bit to Revolutionize Voluntary Carbon Credit Offsets Using Artificial Intelligence (AI)

GlobeNewswire — Mon, 08 Jan 2024 07:25:52 +0000

Co2Bit Technologies (Co2Bit), a forward-thinking technology company dedicated to developing innovative solutions for a sustainable future, is excited to announce the development of an advanced AI-based system designed to comprehensively assess environmental impacts. This groundbreaking system evaluates habitability, environmental sustainability, and humanity-centric factors, with a unique emphasis on the consistency of ratings.

The goal of carbon credit offsets is to reduce the emission of greenhouse gases into the atmosphere. Between 2020 and 2021, the carbon commodities market surged from $270 billion to $851 billion. Plagued by inconsistencies, difficulties managing, and limited tracking of the broader impact of these projects, the voluntary carbon credit market has floundered and nations outside the EU are marginal participants. Resolving these issues and expanding the scope of impact analysis and making voluntary offsets more attractive to the private sector will enable the projected market expansion to $22 trillion of various offsets by 2050.

Recognizing this global demand for precise environmental action assessments, Co2Bit is at the forefront of developing a sophisticated AI solution to measure and score long term project impacts. By implementing AI tools and technologies into the process, the markets can rely more heavily on the accuracy of the data, which should increase the inherent value of more expansive climate impact initiatives to emitters in need of offsets. Co2Bit system provides a holistic evaluation, including carbon emissions, habitat preservation, social well-being, and overall environmental stability and sustainability.

Introducing three distinct scoring systems—habitability, environmental, and humanity scoring—the Co2Bit AI system offers a nuanced understanding of a project’s long term impact on the planet, ecosystems, and communities. This comprehensive scoring, to ensure fair and consistent ratings, goes beyond traditional metrics, providing a holistic assessment. Co2Bit Technologies has initiated the early stages of system development, with beta testing scheduled to commence in Q2 2024. This phase allows stakeholders to experience the capabilities of the Co2Bit system firsthand and provide valuable feedback for further refinement.

As per Ronald J. Wilkins, Chairman at Co2Bit Technologies. “Our AI-based system is committed to empowering businesses to make informed decisions that prioritize sustainability and positively contribute to our planet. This includes ensuring consistency in ratings, aligning with the global trend of corporations and nation states actively demonstrating their commitment to environmental stewardship.”

Co2Bit has already been used to acquire and protect over 100 million trees in the Brazilian Rainforest, saving them from fires by clearing and maintaining the underbrush and using controlled burns to ensure that they are preserved. As importantly, it provides constructive employment and the commensurate economic opportunities for scores of native Amazonians. Co2Bit has national agreements and is partnered with many countries including China, Brazil, Madagascar, Guinea Conakry, Central African Republic (RCA), Gabo, Mali, Zimbabwe, Angola Ivory Coast, Gambia, Nigeria, Sierra Leone, Niger, Somalia, Guinea Bissau, Congo Brazzaville, Comoros, Kenya (MSEA), Haiti, Djibouti, Armenia, and the Democratic Republic of Congo (DRC).

Co2bit Tech’s unique Blockchain Assets – Co2A (currently trading at $20USD on UniSwap) and Co2B are anticipated to be trading soon on other decentralized exchange platforms.

[To share your insights with us, please write to sghosh@martechseries.com]

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AI-Enabled Solutions Are the Key to Help Cellular Operators Reach Carbon Reduction Targets

Ayodele Damola — Thu, 04 Jan 2024 06:44:24 +0000

Today, everything is connected – from phones to watches to cars – modernizing industries, and cellular connectivity changing the way we live, work, and learn. But, at the same time carriers are building out the infrastructure to support this enhanced connectivity, they are setting aggressive decarbonization goals, including public Net Zero ambitions.

What that means for communications service providers (CSPs) is that they can no longer view performance as the sole criterion for success. The telecommunications network of today must be powerful and nimble – and it needs to be sustainable, too. And, AI is the key to creating and managing energy efficiency, reducing carbon footprint while continuing to deliver the high-quality service customers demand.

RAN Represents the Bulk of Energy Usage – And an Opportunity for Savings

The telecom industry is in a unique position when it comes to decarbonization. Advanced connectivity is key to enabling carbon reduction in other industries, and there is also a tremendous opportunity for the telecom industry to lead by example by cutting its own emissions.

The Radio Access Network (RAN) equipment accounts for 80% of the energy use for an operator, based on a benchmarking study by the GSMA. Yet the GSMA also reports 62 operators, representing 61% of the industry (by revenue), have committed to a science-based carbon reduction target, pledging to reduce direct and indirect emissions by 2030.

As networks become increasingly complex, managing energy usage can’t be done manually. Software that monitors for periods of low usage to shut down unnecessary equipment is a good first step, but purely reactive solutions won’t be enough to manage traffic demands while cutting emissions.

AI is the missing ingredient that will help CSPs gain insights to inform ongoing energy savings, while also driving real-time efficiencies through operational orchestration.

AI is what will take network energy management from reactive to predictive, making decisions based on the network’s needs.

For example, AI functions can decide, based on data, what resources will be needed in the coming hours and days, and if all the capacity in the frequency bands within the RAN will be needed. They can then turn off or on different frequency bands or other resources according to predicted demand.

Because, AI programs dynamically learn, adapt, and act accordingly, these tools enable operators to control cells dynamically and in turn, serve dynamic traffic patterns instead of just peak traffic.

Taking things to the next level, CSPs will be able to use AI and machine learning predictions to build digital twins of the RAN environment, allowing them to test and develop energy-saving features without any risk to their actual, live network.

AI Can Identify and Enable Savings Beyond Network Operations

And it’s not just the day-to-day network management where AI tools can help reduce energy usage. They can also help operators diagnose and resolve issues remotely, getting things right the first time to reduce unplanned downtime – as well as achieving carbon reduction through fewer maintenance truck rolls. And, with AI insights, CSPs can identify where new cell sites or other resources should be deployed, creating efficiencies with deployments and equipment buildouts.

Another area where AI can enable energy savings is in the passive equipment at individual cellular sites, things like climate control or air conditioning.

AI solutions can help companies manage the energy infrastructure on-site more intelligently. They can also help in areas where demand response programs are enabled, or when government regulations or tariffs are in place to control peak demand.

For example, AI-powered applications can switch to battery power during times when tariffs are higher (peak load shifting), or when the grid power usage reaches a certain power grid alternating current (AC) limit.

There is a real urgency behind the need for CSPs to make operations more energy efficient, as the telecom industry works to meet self-declared sustainability targets as well as government mandates. Yet, there can be an understandable hesitancy to enact some energy-saving solutions, for fear of disrupting networks or reducing the quality of service. Luckily, AI can be a solution for both these issues – giving CSPs the tools they need to manage complex network functions in the most efficient manner possible, while also collecting and analyzing data to test and refine new applications in a virtual environment, such as a digital twin. Cellular networks need to get smarter to meet sustainability expectations without affecting customer experience – and AI is the key to making it work.

[To share your insights with us, please write to sghosh@martechseries.com]

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Delphina Raises $7.5 Million to Build Copilot for Data Science

GlobeNewswire — Mon, 18 Dec 2023 10:24:21 +0000

Delphina, an LLM-powered copilot for data science, announced the closing of a $7.5 million seed round co-led by Costanoa Ventures and Radical Ventures with participation from 20+ prominent angel investors, including Stanford professor Fei-Fei Li. The funding will be used to expand its team and accelerate product development.

Delphina will do for data science and predictive AI what GitHub Copilot is doing for software engineering. It uses large language models (LLMs) to accelerate the routine, time-consuming tasks in predictive AI workflows, reducing them from months to days. By identifying and preparing relevant data, training models and deploying pipelines, the Delphina platform makes it dramatically faster and simpler for any enterprise – even those without dedicated AI teams – to productize common AI business use cases, like forecasting, personalization, pricing or fraud detection, to name a few.

The goal is to close the gap preventing businesses from using AI in more core business processes. According to Deloitte, 94% of business leaders agree that AI is critical to success over the next five years; however, 41% of business leaders cite slowdowns due to gaps in technical skills. By automating time-consuming tasks, Delphina will enable data science teams to build and deploy better AI models, faster.

even the most advanced data science teams are mired in painstaking work that AI is better suited to do,” said Jeremy Hermann, Co-founder of Delphina. “With the recent advancements in large language models, it is only now possible to massively improve data science productivity so the world gets the value it wants out of AI faster.”

Many existing tools focus on MLOps (machine learning operations), but the creation and tuning of predictive AI models themselves remains labor-intensive and under-served. The few tools that do target model building favor low-code approaches, whereas Delphina is optimizing for technical builders who code.

“There’s been a boom in AI tools in recent years, but building valuable models and putting them into production has not gotten easier,” said Tony Liu of Costanoa Ventures. “Delphina is taking a very different approach to the problem by using LLMs in a way that was not previously possible. Jeremy and Duncan understand the space better than anyone else.”

“Large language models promise to automate and transform broad swaths of traditional data science and predictive AI workflows, just like we are seeing them do with software engineering,” said Rob Toews of Radical Ventures. “Venture capitalists like to talk about ‘founder/market fit.’ I can’t imagine a stronger founding team than Duncan and Jeremy to tackle this problem, as two top data science leaders who have been at the forefront of this field for years.”

Delphina is deployed with five design partners. They expect full commercial availability in the second half of 2024.

[To share your insights with us, please write to sghosh@martechseries.com]

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Elevating Skilled Talent With AI Tools, Trainings and Resources

Pooja Choudhary — Tue, 12 Dec 2023 12:26:36 +0000

More than just a technical wonder, artificial intelligence (AI) is a powerful ally changing the face of work. Artificial intelligence (AI) goes beyond only increasing efficiency as companies aim to stay ahead of the competition. It’s improving HR practices and has ramifications for areas such as diversity, leadership training, executive coaching, accountability, human capital management, diversity in the workplace, and workforce analytics.

Discover the ways AI is revolutionizing talent management by delving deeper.

How AI-Powered Tools Can Elevate Training

AI-powered presenting tools are changing the game when it comes to learning retention by increasing engagement, making connections, and facilitating better absorption of information.

Create engaging polls, quizzes, and interactive activities with the help of AI-powered platforms. To add some fun and excitement to a virtual session, you may use a tool like Kahoot to generate a quiz at the conclusion.
Enhance online education using multimedia. Lessons may be enhanced with the use of movies, infographics, and animations. Infographics are a great way to show statistics and historical events visually. Engaged pupils will retain more of what they learn.
Regularly administering assessments during virtual training sessions allows for rapid feedback. Make use of a quiz or some open-ended questions to check for understanding after each topic has been covered. The sessions are more productive and learners can identify areas that need development because of this.
Make available materials to help students remember what they learned after the session. Make sessions’ recordings, summaries, or reading materials available so students may review the information whenever it’s convenient for them. One option is to make the recordings easily accessible by uploading them to a shared drive or an LMS.
Motivate contemplation and implementation. Encourage students to think critically about what they have learned and use real-world examples to illustrate their points. It is possible, for instance, to assign participants a personal or professional assignment to do following a virtual leadership training session. This helps to strengthen comprehension and ensures that the information is remembered.
Always assess and change. It is important to regularly evaluate the strategy’s efficacy and collect participant input through polls or surveys. After that, make better use of this criticism to enhance the educational process. Incorporate group discussions or virtual simulations, for instance, if students ask for more involved activities. Improving retention and engagement in virtual learning may be achieved via ongoing assessment and adjustment.

Read: 4 Common Myths Related To Women In The Workplace

Let’s Name the Big Players in This Domain

Upwork has created a dedicated location within the AI Services hub just for competent independent professionals to assist them in becoming the most AI-enabled talent in the world. Apps focused on artificial intelligence deals on top tools, instructional content, and AI-related projects are all available to the talent here. Upwork Chat Pro, a software powered by GPT-4 that is now in beta, was created by Upwork to help independent professionals start and finish tasks more quickly and efficiently. They are also launching early access to this app. Upwork has expanded its resources to include Adobe Creative Suite, CodeWhisperer, and AI-based courses from reputable sources like Coursera, Jasper, and Udemy, all of which are available to independent talent on the platform.
EdCast employs AI-powered chatbots for learning support, helping employees find relevant training materials and answer queries. Transform L&D and revolutionize Skill Building with a platform that is AI-powered, Mobile-First, and Personalized – EdCast Learning Experience Platform. Leverage top expertise from your organization and the industry in one unified learning and skilling platform. EdCast Marketplace. Get faster RoI and user adoption of the latest application and software, through In-app assistance and automation for tasks and workflows with MyGuide Digital Adoption Platform.
STRIVR utilizes VR for immersive training experiences, allowing employees to practice and develop skills in realistic environments. Customer service, management, and the ability to constructively provide criticism are examples of the “soft skills” that are becoming more valuable as a result of workplace automation. The soft skills training offered by Immersive Learning includes opportunities for learners to reflect on and evaluate their performance, as well as experiences that allow them to explore real-world emotional responses.
Smart Sparrow uses AI to create adaptive e-learning content, adjusting the difficulty and format of content based on individual learner progress. With their assistance, you may transform your idea into a tangible product. Strategic consulting and custom software development are only two of their many offerings.
15Five: While not exclusively an AI tool, 15Five incorporates AI features for continuous feedback, recognition, and performance insights. When it comes to managing performance, the majority of platforms fall short. It is hardly measured at all. Only 15Five can take your data and turn it into actionable steps with measurable outcomes. When it comes to improving engagement, performance, and retention, more than 3,500 companies rely on it. It. is the only ongoing solution that leverages AI-powered recommendations based on your performance and engagement data to get the results you care about.
Pymetrics leverages AI to assess cognitive and emotional traits, recommending personalized upskilling paths for employees. Strategies to entice, keep, and develop staff. To analyze the full talent lifecycle, they deploy gamified behavioral tests. They assess people’s actual potential by collecting objective data on their cognition and conduct, rather than relying on subjective surveys or resumes that look backward.
Degreed uses AI and data analytics to provide insights into employee learning behaviors, helping organizations make informed decisions about training programs. To make better judgments and plans for the future, they use organizational-wide skill insights, skill ratings, and adaptable skill taxonomies. You won’t find any other learning system that combines insights into talents with any kind of people development experience imaginable like theirs. A group of knowledgeable specialists is available to assist you in identifying the problem and developing a workable solution.
Cornerstone OnDemand integrates AI into its LMS to offer personalized learning paths, content recommendations, and skill development plans. Unite individuals with the objectives of the company. A unified system. The possibilities are endless. Provide, oversee, and monitor training on a worldwide scale for your employees, clients, and business associates. Help your employees reach their maximum potential by giving them the tools they need and opening doors for internal mobility. To identify top performers and cultivate future leaders, use detailed information about your company. Give your employees access to handpicked learning content that has won awards and will keep them engaged as they work.

Read: The Beauty Of AI In The Wood Industry

Big brands are increasingly leveraging AI tools, training programs, and resources to elevate skilled talent in various ways.

AI-Powered Talent Acquisition: Automated Resume Screening: AI tools are used to quickly and accurately sift through large volumes of resumes, identifying qualified candidates based on predefined criteria. Predictive Analytics: Companies use AI algorithms to predict candidate success based on historical data, improving the selection process.
Personalized Learning and Development: AI-Driven Training Platforms: Brands are adopting AI-powered learning management systems (LMS) that personalize training content based on individual employee needs and learning styles. Skill-Gap Analysis: AI tools help identify skill gaps within teams, allowing for targeted training programs to enhance employees’ capabilities.
Performance Management and Feedback: AI-Based Performance Analytics: Companies utilize AI to analyze employee performance data and provide insights for more effective performance evaluations. Continuous Feedback: AI-driven feedback systems provide real-time insights to employees, helping them understand their strengths and areas for improvement.
Remote Work Enablement: AI-Powered Collaboration Tools: AI is integrated into collaboration platforms to enhance remote team interactions, making communication more efficient and productive. Virtual Assistants: AI-driven virtual assistants help employees automate routine tasks, allowing them to focus on more strategic and complex aspects of their roles.
Diversity and Inclusion Initiatives: Bias Detection in Hiring: AI tools are used to identify and eliminate biases in the hiring process, promoting diversity and inclusion. Inclusive Language Monitoring: AI helps companies ensure that communications and content are free from biased or exclusionary language.
Predictive Analytics for Talent Retention: Identifying Flight Risks: AI algorithms analyze employee data to identify potential flight risks, allowing companies to proactively address issues and retain top talent. Customized Retention Strategies: AI provides insights into individual employee preferences, enabling companies to tailor retention strategies for different segments of their workforce.
Automated Onboarding Processes: Chatbots and Virtual Assistants: AI-powered chatbots assist new hires during the onboarding process, providing information, answering queries, and guiding them through various procedures.
Continuous Skill Development: AI-Enhanced Learning Paths: Employees are provided with personalized learning paths that adapt based on their evolving skills and job requirements.
Employee Well-being Programs: AI-Driven Health and Wellness: Companies use AI to monitor employee well-being, offering personalized wellness programs and interventions.

By integrating AI into these areas, big brands aim to create a more agile, efficient, and innovative workforce that can adapt to the rapidly changing demands of the business landscape.

Read: Top 10 Benefits Of AI In The Real Estate Industry

Conclusion

Several HR-related processes could undergo radical changes with the introduction of generative AI. Nevertheless, it is crucial to be aware of the possible hazards that come with them, such as data bias, data security, privacy problems, insufficient monitoring and auditing, incomplete compliance and regulatory framework, and, most significantly, handling ethical dilemmas. Until appropriate legislative frameworks are in place, organizations should establish their standards for the ethical and responsible use of generative AI.

Organizations may take advantage of technology developments to their advantage and provide an immersive and dynamic learning environment. With its innovative HR tech solutions, artificial intelligence is at the forefront of this transition. With the use of AI, experts can pinpoint their weak spots and strengthen those areas via personalized digital learning experiences.

Ultimately, the integration of AI with L&D represents a sea change, altering the path to career success and skill improvement. While shaking things up in the status quo, this synergy paves the way for deeply meaningful mentorship, intentional microlearning, and individual development. With the advent of AI-infused L&D, companies are poised to embrace an era of constant development. This guiding light will lead individuals and businesses toward a future where growth and innovation harmonize.

Read: How should CFOs approach generative AI

[To share your insights with us, please write to sghosh@martechseries.com]

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Cloudinary’s New Generative AI Features Help Brands Maximize Impact of Images

Business Wire — Fri, 08 Dec 2023 08:08:25 +0000

Leader in Image and Video Innovation Also Unveils Results of Global Web Developer Survey, Revealing Strong Demand for GenAI Tools

Cloudinary, the image and video technology platform that powers many of the world’s top brands, announced generative AI enhancements to its Programmable Media API and enterprise digital asset management (DAM) solution, Cloudinary Assets. Cloudinary’s generative AI capabilities offer the easiest and most powerful way to edit images at scale, enabling technical and non-technical users to accelerate time to market for their most valuable assets while improving employee autonomy and productivity. The company also revealed the results of its first independent web developer survey on the demand for and practical application of evolving AI capabilities.

Study: Developers trust AI to improve productivity

Advanced image editing and optimizing assets for accessibility and SEO often leads to resource bottlenecks, costly reshoots, and time-intensive manual editing processes. Generative AI can alleviate these barriers. In a recent independent survey*, 58% of web developers said they viewed AI tools as “very” or “extremely” trustworthy, citing improved efficiency and productivity (68%) as a top benefit. The survey also found that 64% use generative AI tools to streamline the development process, 54% for workflow automation, and 99% believe these tools have the potential to improve the developer experience overall.

Generative AI Upscale for Faces boosts impact of user images

Cloudinary’s new Generative AI Upscale for Faces capability offers a clear example of generative AI’s impact. Images with faces have been found to attract attention and build trust at higher rates, and are the most important element of any image in which they appear. Similarly, user generated content (UGC) is particularly valuable for increasing conversions, but ensuring necessary quality of human subjects when using those assets can be a challenging and time-intensive proposition.

Generative AI Upscale for Faces solves this by leveraging advanced facial recognition technology to detect faces and automatically optimize the image to ensure the faces remain visible and in focus, even when the original photo needs to be cropped and/or enlarged. This vital feature reduces the risks associated with UGC or other assets when the brand has no control over the original quality, improving usability, and accelerating time to market.

Generative Restore now available for non-technical users

Cloudinary is also making more generative AI features available to marketers and creatives with the next update to the Studio feature of its enterprise digital asset management (DAM) platform, Cloudinary Assets. Studio users, who already enjoy no-code access to Generative Fill, Replace, and Recolor capabilities will be able to use Generative Restore to automatically improve and optimize many low-quality images at once. Studio users also gain the ability to build repeatable, automated workflows to apply these transformations and deploy the upgraded assets across channels with confidence.

Cloudinary’s proven generative AI features become even more effective

Cloudinary continues to enhance its existing set of generative AI tools, including Generative Fill, Replace, Restore, Remove, and Recolor. Since launching earlier in 2023, these tools have already proven instrumental in simplifying complex image editing tasks for hundreds of customers, delivering substantial time savings while ensuring high-quality outputs. The latest feature enhancements include:

Improved overall performance for generative features;
New input parameters for fine-tuning requests; and
Feature-specific enhancements, such as better shadow removal for Generative Replace and Remove.

“We have curated the best of generative AI to bring practical and powerful solutions to our customers to automate and streamline image editing at scale,” said Nadav Soferman, co-founder and chief product officer at Cloudinary. “We have been incorporating AI into our solutions since our inception and we are now enhancing our solutions further with generative AI and LLM to further help customers unleash the potential of their images and reduce repetitive and manual creative tasks.”

Explore Cloudinary’s full range of generative AI capabilities in the hands-on demo environment of the Generative AI Playground, or visit Cloudinary’s website to learn more about Cloudinary AI and the opportunity presented by generative AI specifically.

[To share your insights with us, please write to sghosh@martechseries.com]

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ArteraAI and GenesisCare Partner to Launch the First Australian-Based Clinical Trial

Business Wire — Fri, 08 Dec 2023 07:59:12 +0000

ArteraAI, the developer of multimodal artificial intelligence (MMAI) based predictive and prognostic cancer tools, announced a strategic collaborative agreement with GenesisCare, an integrated cancer care provider.

The agreement allows for ArteraAI and GenesisCare to collaborate in Australia to generate real-world data on AI tools guiding treatment decisions as part of a new clinical trial.

“We are honored to be able to partner with GenesisCare to provide the clinical community in Australia a way to personalize care for their patients,” said Andre Esteva, co-founder and CEO of ArteraAI.

ArteraAI and GenesisCare share a commitment to clinical innovation and advancing precision medicine, with the aim of improving the lives of patients with localized prostate cancer.

“Our research partnership with ArteraAI aligns with our aim to offer personalized and patient-centric care in communities across Australia,” said Professor Jarad Martin, GenesisCare Radiation Oncologist.

[To share your insights with us, please write to sghosh@martechseries.com]

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ChatGPT Is the Most Visited AI Tool Surpassing Google Bard and Midjourney

Pooja Choudhary — Thu, 07 Dec 2023 12:21:27 +0000

Dominance of ChatGPT

In the past year, ChatGPT has emerged as the unequivocal frontrunner in terms of prominence among AI chatbots. A recent study reveals that the OpenAI-developed AI chatbot significantly outperformed its rivals, garnering an astounding 14.6 billion visits in total from September 2022 to August 2023.

To provide context for ChatGPT’s accomplishments, that figure signifies 60% of the overall traffic directed towards the leading 50 AI tools throughout that time frame. ChatGPT received an average of 1.5 billion monthly visits, which surpassed the combined traffic of its nearest competitors.

Read the Latest blog from us: AI And Cloud- The Perfect Match

ChatGPT Has Emerged as the Unequivocal Frontrunner

During the year, a staggering 3.8 billion visitors ranked Character AI, a website that facilitates conversations with an assortment of AI chatbots featuring distinct personas, in an extremely distant second place. While undeniably remarkable, that figure is negligible when compared to the nearly 15 billion visits recorded on ChatGPT. In contrast, a prior investigation had unveiled that Character AI, not ChatGPT, garnered greater user engagement, with visitors dedicating approximately eight times more time to the platform. Over the previous year, significant competitors such as Microsoft’s Bing Chat and Google’s Bard failed to even come close to regaining ground. Google Bard, which debuted earlier this year, ascended to the sixth position with 241 million cumulative visits. In contrast, Microsoft’s Bing Chat failed to secure a spot within the top ten.

Putting aside the dominance of ChatGPT, it is undeniable that AI tools are consistently attracting a substantial volume of traffic, as evidenced by the monthly average visits surpassing 4 billion in May 2023, up from 241 million in September 2022. It is not unexpected that the top 50 AI tools garnered a cumulative 24 billion visits between September 2022 and August 2023.

Read: AI and Machine Learning Are Changing Business Forever

[To share your insights with us, please write to sghosh@martechseries.com]

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Wondershare Advances the Art of Screen Recording and Editing with AI-Driven DemoCreator 7

PRNewswire — Thu, 07 Dec 2023 10:23:25 +0000

Wondershare DemoCreator, the pioneer in integrated recording and editing technology, proudly unveils DemoCreator 7—an exceptional upgrade that redefines the boundaries of user experience. Engineered with cutting-edge artificial intelligence, DemoCreator 7 transforms the core dynamics of screen recording with unparalleled optimization, introduces a suite of sophisticated editing tools, and ushers in a new era of video sharing functionalities.

Continuing its tradition of excellence, Wondershare reaffirms its dedication to empowering creators of educational, marketing, and entertainment content through the latest release of DemoCreator 7. With a deep understanding of the varied realms of knowledge dissemination, Wondershare’s DemoCreator 7 stands at the forefront of the AI revolution. The software suite’s latest enhancements leverage Wondershare’s extensive AI research, offering groundbreaking features such as lifelike virtual persona recording, versatile AI-driven voice modulation tools, and advanced AI portrait recording and editing capabilities. This commitment ensures that professionals across multiple industries have access to the most innovative tools to create, educate, and entertain.

Here are some key updates:

Enhanced Recording Features:

– Introduction of 5 new overlay recording effects for static and dynamic cursors.
– Expansion of virtual avatars to 30 sets.

Improved Editing Features:

– AI voiceover tool supporting 40+ tones and 8 languages: English, Japanese, Korean, Spanish, Portuguese, French, German, Italian.
– Addition of core highlights to the editor toolbar.
– Introduction of over 1000 new editing effects and resources.

It should be noted that to improve the efficiency of team collaboration for SMB (Small and Medium-sized Business) users, this significant update offers enterprise-level features including the ability to export works to the cloud for distribution and functionality for interactive messaging.

Recommended AI News: Pure Storage Appoints Lynn Lucas as Chief Marketing Officer

“In an industry where technology and creativity intersect, DemoCreator stands as a beacon of innovation,” stated Hanna, CEO of Wondershare’s DemoCreator. “Our unwavering mission is to support the content creation community by continuously refining our recording and editing capabilities. The introduction of AI tools in DemoCreator 7 doesn’t just enhance user experience—it revolutionizes it, setting a new standard for precision and efficiency in the content creation process.”

[To share your insights with us, please write to sghosh@martechseries.com]

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Healthcare Open Enrollment Trends Point to Integration of AI Tools and Increased Digital Engagement

Business Wire — Thu, 07 Dec 2023 10:16:09 +0000

Alight, Inc. a leading cloud-based human capital and technology services provider, released an analysis from its recently concluded annual healthcare fall open enrollment period highlighting key trends across participants it serves including an uptick in digital engagement for participant enrollment, increased (Health Savings Account) contributions, the addition of voluntary benefits, and the integration of Artificial Intelligence (AI) tools to help participants enroll.

During the 2023 open enrollment period, Alight successfully enrolled over 9 million users through its Alight Worklife ^® platform. Based on this subset of participants, Alight identified key trends and shifts in this year’s annual enrollment, including:

Users prefer digital engagement: Over 95% of enrollees used digital platforms for the enrollment process, including a 200% increase in the use of the Alight mobile app.
AI-supported enrollment is becoming the norm: 95% of employers served by Alight offered AI tools and features, such as Alight’s AI-powered virtual assistant, Ask Lisa, to guide their employees through the enrollment process, to facilitate more informed decisions and help them find the benefits to best fit their needs. Ask Lisa streamlines the annual enrollment experience for employees allowing them to easily re-enroll into their current benefit programs and contributions automatically. Ask Lisa can also respond to employee inquiries with specific, personalized information such as spending account claim decisions to debit card status and even benefit payment information for inactive employees.
Health plan enrollment remains steady: Approximately 73% of employees elected coverage in an employer-sponsored plan.
HSA contributions are increasing: More than 60% of employees chose to contribute to their Health Savings Account (HSA), with a majority also benefiting from employer contributions.
More employers are offering voluntary benefits: Employers demonstrated a growing trend in adding voluntary benefit plans, particularly in the Health Supplement and Whole Life with Long-Term Care coverage space.

“The results from our open enrollment season demonstrate an increased appetite from both employers and employees to streamline and optimize the enrollment experience with the help of AI and other digital tools,” said Karen Frost, vice president of health strategy at Alight. “We are excited to see the increasing use of digital and mobile channels through the Alight Worklife platform as high levels of engagement both during enrollment and throughout the year are how we help clients successfully execute their health care strategies.”

John Compton, senior director of health at Alight, added “Artificial Intelligence, including our Ask Lisa feature, continues to play a vital role in the employee experience. Employees are using these tools to find the benefits that best align with their unique needs.”

The comprehensive results of this year’s open enrollment season and an in-depth analysis into the evolving landscape of employee benefits and the impact of technology on the open enrollment experience will be published in Alight’s 2024 Benefits and Enrollment Trends Report, scheduled for release in early 2024.

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