SnapLogic Chief Scientist Greg Benson reveals his predictions on Generative AI, and the challenges and opportunities it presents in 2024.

Prediction 1 – GenAI won’t take your job, but it might change it.

In 2024, Generative AI won’t lead to mass job displacements and redundancies, as many early sensationalist reports might have suggested. GenAI won’t completely replace experts in any field, as although models have access to an insurmountable amount of information, users still have to articulate concepts well enough to get the right answers – thus, expertise and human input and, more importantly, human review always will be necessary.

Collaboration with GenAI is a trend we can expect to continue in 2024, as businesses look to capitalize even further on its benefits, reaping the rewards of increased productivity and quality of content creation. This means adopting even more GenAI tools and encouraging even more use of them; the goal being not to replace workers, but instead assist what they do.

Prediction 2 – Now that we’ve invented GenAI, the next step is understanding it.

Next year, we can expect to see businesses attempt to improve the consistency of output from Generative AI. Currently, there is no set rule book for achieving great results with GenAI; there are tips and tricks you can deploy for better or faster results, of course, but overall the process is largely trial and error.

Interacting with GenAI in its current iteration is like a science experiment – you come up with a hypothesis and continue to test different manners of prompts until it produces the result you’re looking for. In the future, the focus of experimentation will be on figuring out how we evaluate the responses it gives us and using that data to inform prompts further.

Companies that want to apply GenAI to their products will need to think about how they carry forward and evolve prompts that can improve results directly. Qualitative and quantitative improvements can only be brought about by reevaluating their approach to AI application and development.

Prediction 3 –Expect an onslaught of GenAI tools and GenAI startups.

In 2024, we’re going to see another year of the AI market expanding, with more variety as GenAI startups try to find their niche among the masses.

Rather than consolidation, more GenAI solutions will continue to pop up in different industries. Of course, there will be a lot of attempts that don’t get traction, or just don’t work, but this won’t deter the wave of opportunistic entrepreneurs and businesses who look to capitalize on the GenAI wave.

There’s already the start of a huge race on the hardware side too: companies such as Google and AWS are building their own AI hardware in addition to NVIDIA, which is worth watching. If successful, these advances in hardware could lead to another explosion in how large language models are trained, as currently, it takes a lot of human input, money, and effort to build from the ground up.

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Prediction 4 – GenAI regulation is essential to adoption.

Regulating GenAI will be a huge focus for governing bodies and business leaders in 2024. Earlier this year, calls were heard for a pause in AI development from numerous visionaries, but this isn’t realistic as the fundamental technology is increasingly available through open-source models available on Hugging Face. Rather than focusing on halting development, creating clear regulations, guidelines and best-use practices will be necessary to ensure partnership with AI will move forward safely and securely.

Like any other technology, defining the boundaries that keep safety in mind will allow for leveraging the benefits without sacrificing progress. We can liken this to all manners of tools and equipment that need to be regulated; for example, we don’t stop ourselves from building cars that go fast, but we do put speed limits in place to ensure safety. Internationally, governments will draw their attention first to the areas of regulation that present the greatest impact on citizens, including frontier AI.

From an industry perspective, the GenAI applications and most helpful cases will emerge as front runners for wider business use cases. Understanding the risks, challenges, and security issues potentially imposed by these tools will be vital for businesses to understand exactly when and how these tools need to be regulated internally.

Likewise, companies hoping to leverage GenAI will have to communicate to customers exactly how it’s used and how it complies with current and future regulation requirements.

Prediction 5 – GenAI and Legacy technology: Why the key to modernization may reside in GenAI tools.

After a year of GenAI practice, legacy businesses are starting to understand that GenAI interest is not just driven by ‘hype’, and instead could be truly transformative for their sector. Therefore, in 2024, we can expect even more traditional businesses to deploy the technology to help evolve legacy systems and modernize their technology stack.

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Typically, traditional companies are not amenable to change or agile enough to adopt the latest in new technology. Many companies are tied to legacy software due to a combination of outdated procurement processes, familiarity, or concerns about data loss or disruption, making modernization inaccessible. The key here is that GenAI can assist with migrating off old code bases and technology stacks to modern programming languages and platforms.

However, GenAI could bridge this gap by allowing companies previously locked into legacy systems to access a more modern workforce’s knowledge and work practices. GenAI also makes some modern tools far more user-friendly, and therefore more likely to be deployed across businesses.

Prediction 6 – AI and the question of originality

Next year we’ll see the average person become more adept at using AI, both in business and in their personal lives. Students will also interact with GenAI at a greater scale.

On the one hand, ChatGPT and others can be great personal tutors to help students understand concepts. On the other hand, ChatGPT can be used to generate solutions to problems. I tell my students that they can use GenAI to help them as they are learning, but they must turn in their own original work. The problem is that it is extremely tempting to have GenAI provide the answers, perhaps just partially. In addition, since the answers are coming from a computer program and not another student, it distances students from the notion they are cheating. So far, for my classes in computer systems, it has been fairly easy to determine if a student has turned in GenAI solutions because they don’t follow the conventions in code that I’ve taught in class and require in student solutions.

How GenAI is used in classrooms is very much a work in progress. At the moment there’s still no best practice model – even at my University, we have workshops about AI, but no succinct policy. Beyond the classroom, there is the larger question of intellectual property and how GenAI is trained on internet-accessible creations and works available in digital form. We will see this play out in all industries and the courts in 2024.

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Prediction 7 – Universities will begin to teach prompt engineering

In 2024, universities will teach prompt engineering as a minor field of study and through certificate programs. Prompt engineering for GenAI is a skill already augmenting domain experts, similar to how computing has augmented other domains. The successful use of large language models (LLMs) relies heavily on giving the models the right prompts. When looking to fill the role of a prompt engineer, the task becomes finding a domain expert who can formulate a question with examples in a specific domain, a skill critical for today’s IT

professionals to refine to successfully implement LLMs. Given this, universities will introduce new academic focus areas to address the growing demand for professionals with specific skills required to build the next generation of GenAI applications.

Currently, SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier.

Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate, and orchestrate the flow of data across their business.

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

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Boomerang Ventures, a leading venture capital and studio firm, has strategically invested in Xploro a pioneer in pediatric digital health. Leading the $1.7M Series Seed round, Boomerang Ventures underscores its dedication to fostering innovation in connected health technologies.

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Established in the UK in 2019 and relocated to Cleveland, Ohio in 2022, Xploro Inc. is revolutionizing healthcare for children and families. The platform employs augmented reality, gaming, and AI to offer comprehensive health information, reducing stress, improving health literacy, and enhancing outcomes. Addressing critical healthcare gaps, Xploro provides age-appropriate, disease-agnostic, clinically-validated patient education. Utilizing games, AR, a cutting-edge chatbot, and customizable content across healthcare disciplines, it engages and informs young patients, available in multiple languages for diverse healthcare settings, ultimately enhancing resilience during treatments.

“My daughter’s Ewing’s Sarcoma diagnosis at age 13 in 2011 highlighted the lack of information that left her scared, anxious, and reluctant to engage with health services. Drawing on my entrepreneurial and tech disruptor background, I founded Xploro to change this. Boomerang’s investment provides essential support for our mission to empower young patients with the knowledge they need,” said Dominic Raban, Co-Founder & CEO, Xploro Inc.

Xploro Inc. initially focused on pediatric patients aged 7-15 and plans to expand to all ages and conditions, targeting the $12.53 billion global pediatric healthcare market and entering the adult healthcare sector by 2025. The company collaborates with respected organizations like World Child Cancer and partners with renowned healthcare providers, including Cincinnati Children’s Hospital, University Hospitals Cleveland, and several NHS Trusts. Boomerang Ventures’ investment supports Xploro’s vision of expanding into new treatment areas, enhancing sales and customer success functions, and securing runway through 2025, including broadening health condition coverage and involving third-party content creators.

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“We’re impressed by Xploro’s EdTech platform and its impact on pediatric patient education and anxiety alleviation. Boomerang values Xploro’s clinically validated technology, seeing its potential to revolutionize medical education across ages. Xploro’s move to the Midwest U.S. highlights the thriving healthcare and entrepreneurial ecosystem,” said Oscar Moralez, Founder & Managing Partner, Boomerang Ventures.

Read: AiThority Interview with Snyk’s CMO Jonaki Egenolf

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Generative AI in marketing is a disruptive force– every aspect of marketing is permanently reshaped by the novel technology. According to a survey of 1800 global CMOs and marketing executives, organizations are allocating a significant portion of their budgets to include Generative AI in marketing technology stacks. More than two-thirds (76%) of organizations are ready to fully embrace generative AI in marketing to unlock new revenue opportunities, enhance customer experiences (CX), and gain a competitive edge in the marketplace. In 2023, generative AI or gen AI has forced organizations to embrace a culture of innovation and experimentation, with compliance, ethics, and governance at the center, with their Marketing Technology tools and solutions. Capgemini’s report titled, “Generative AI and the Evolving Role of Marketing: A CMO’s Playbook” highlights the game-changing impact of Generative AI in marketing efforts and the future of generative AI-enabled marketing campaigns in 2024.

No other technology has proliferated our lives faster than gen AI. For instance, ChatGPT reached 100 million users within two months. AI has made an impact on every business function within an organization. Sales, Marketing, Customer Service, HR, IT, Finance, and Operations departments heavily rely on ChatGPT-like tools and capabilities to harness the power of data analytics for automation-driven real-time decision-making. Marketing departments, in particular, are at the forefront of generative AI adoption for selective applications in website development, content marketing, video and image generation, chatbots, and search.

Why do Marketers Love Generative AI in Marketing Tasks?

Generative AI, by definition, can learn from a wide range of data points, applied to specific tasks and situations. According to Hubspot, marketers use AI to create better and faster content. 35% of marketers use AI for research, generate new ideas, and write better copies. 48% of marketers consider AI-powered inspiration as a major benefit of using Generative AI in Marketing. 49% of marketers feel AI content is more personalized, while 50% believe AI enhances the quality of their copy.

The pattern-derived learning of AI models such as LLMs helps users to generate texts, speech, videos, images, and in some cases, neural sentiments.

Today, Gen AI tools can perform creative tasks for various operations. In some cases, tools like Bing, BARD, Synthesia, DALL-E2, Midjourney, and ChatGPT can even outperform human efforts. Marketers love using gen AI tools for the obvious reason that they can be easily integrated with the existing Marketing Technologies for email, content management, CX, and so on.

According to Capgemini, the Marketing function is rapidly embracing Gen AI despite their organizations adopting a “wait-and-watch” approach in 2023.

Top Use Cases of Gen AI in Marketing

With Gen AI adoption, technology investments in the Marketing and Sales functions have soared significantly in 2023. The state of implementation of generative AI in marketing highlights the importance of time-saving capabilities in content generation, personalization, and financial opportunities. According to Deloitte, 82% of early AI adopters have already gained financially from their AI investments. In the next two years, 90% of global marketing leaders will increase the use of gen AI. Despite open talks related to the biases, hallucinations, ethics, and accountability of gen AI tools, marketing leaders are optimistic about their AI-focused martech investments for B2B and B2C sectors.

Top Applications of Gen AI in Marketing

Designing and Content Generation

Marketing teams are using Gen AI tools for designing and generating content for their websites, emails, newsletters, surveys, social media posts, messengers, chats, and videos. In most omnichannel campaigns, AI has replaced design teams. In 2024, we could find generative AI tools proliferating deeper into multiple channels to engage with customers with augmented and mixed reality content. Regardless of the channels they choose, marketing teams will be able to deliver a personalized customer experience.

Marketing Analytics

Generative AI in marketing functions can transform the way teams leverage analytics for measuring performance and impact. Platforms such as Google Cloud and Adobe Experience Cloud help marketers create advanced audiences and segmentation to power superior customer experiences for omnichannel campaigns. Data-driven marketing insights can increase CLTV with prioritization of customer sentiments, ad spends, and real-time recommendations for upsells/ cross-sells.

Conversational AI for Voice and Chatbots

Marketing teams use conversation AI technologies for their voice and chatbot-based customer experience management solutions. Generative AI in marketing using voice and chatbot technologies helps in creating an intuitive customer service and support workflow. These can understand complex customer queries and generate relevant responses with little or no intervention from human marketers. As gen AI tools get more advanced through self-learning models, marketing teams can expect to improvise on their ability to improve customer interactions and reduce the friction in customer journeys.

Event Planning and Marketing

AI-borne events are the future of B2B marketing. Webinars, virtual conferences, and product launches could all see a dash of generative AI in the coming months. At AiThority.com, we covered events organized by Salesforce, Adobe, Cisco, Intel, AWS, NVIDIA, and others — these events showcased their AI themes with powerful AI-generated messaging and content. Using AI for events planning and marketing reduces production time with personalized content generation and automation techniques. For marketers, events ROI can be quickly scaled by driving registrations and engagements through AI and bot-based interactions.

According to Capgemini’s CMO’s Playbook on generative AI in Marketing, here are the top use cases:

• Data Analysis
• Personalization and CX
• Campaign creation
• SEO
• Image and video generation
• Text content creation
• Brand avatars
• New product development
• Metahumans
• Customer service management
• Brand metrics and sentiment analysis

Other areas where gen AI in marketing is making the biggest splash are shown below:

Marketers are not pausing on their AI investments despite challenges related to transparency and copyrights. Almost 80% of organizations have allocated a budget for gen AI integrations or plan to do so in the next six months. Leaders believe gen AI initiatives will lead to brand enhancement, cost efficiency, innovation, time optimization, and improved customer experience. However, as 70% of enterprises are potentially exposed to ethical challenges and legal issues, there is still much work to be done.

For example, less than half of companies (42%) are prepared to address copyright infringement cases for AI-generated content. 

Our team spoke to Eliza Nevers, SVP of Product at Lotame about AI’s role in marketing and advertising. Eliza said, “Brands and agencies remain cautious when it comes to handing over large portions of their operations to artificial intelligence. But, that doesn’t mean they aren’t looking to master the tech and seek future advantages (and efficiencies). Therefore, companies — particularly agencies — will scramble in 2024 to upskill talent with help from the right partners. Meanwhile, media buying agencies will focus on training specific AI models to get ahead, as more ad buying is likely to be executed and optimized by machines over time. We’ll continue to see the rise of AI consultants as a competitor to agencies, which will likely drive agencies to expand their services in this realm to better compete, and serve clients.”

Likewise, Nicola Kinsella, SVP of global marketing at Fluent Commerce said, “AI had quite the year in 2023, dominating the headlines with major analyst firms predicting its significant impact over the years to come. But to be successful in 2024 and beyond, AI will be forced to rely on the very sources many fear the technology will replace: people and data. Retail data is highly complex and dynamic with siloed information that is constantly in flux, whether it’s consumer buying behaviors, delayed shipments, product shortages, or labor demands. Teams equipped with retail order and inventory data management systems will play a major role next year to help produce and maintain clean, accurate, and accessible data needed for businesses to take full advantage of AI.”

Generative AI and Machine Learning: B2C versus B2B Campaigns

When it comes to incorporating Gen AI in marketing strategies, marketers in the B2B sectors are only slightly behind their B2C counterparts. However, the gaps will close between the two with B2B marketers testing and experimenting with Gen AI more actively than B2Cs.

The budget for generative AI in marketing technology investments has grown significantly in 2023. According to Capgemini, surveyed organizations have earmarked 62% of their martech budget for AI-focused initiatives. These efforts highlight the evolution of generative AI in marketing and customer support. In B2C organizations, CMOs are assuming much larger roles and taking greater accountability for revenue growth and profit-making. Most B2C CMOs are keenly investing in Martech platforms such as SaaS-based Marketing Clouds, CDPs, Customer Journey Platforms, and Analytics.

Future of AI in Marketing Technology: What CMOs should Prepare for

The report mentions that gen AI in marketing will augment human creativity, and not replace it.

Challenges with Generative AI in Marketing

Accepting hard facts and trustworthiness about generative AI in marketing are the top challenges for CMOs in 2023. Within six months, organizations that believed the benefits of generative AI outweighed the costs and risks decreased significantly. In April, 74% of organizations agreed generative AI benefits outweigh costs and risks; by October, this number dwindled to 57%. Despite challenges, CMOs could continue to leverage gen AI in their marketing technology strategies for assistance with long-term brand building, and enhanced customer service.

66% of organizations use gen AI for innovation in new channels in addition to the reduction in marketing costs.

To prove a point, Capgemini mentions the AI-generated marketing campaigns owned by Coca-Cola, Spotify, Wendy, Nestle, JP Morgan Chase, Heinz, Mercedes, Casper, and others.

Apart from the obvious risks and compliance-related challenges, organizations agreed that finding a balance between generative AI and human creativity tests their strategies. On average, 55% of organizations stated that balancing gen AI efforts with human creativity is an ongoing challenge in 2023. Experts believe that expecting machines to 100% match human emotions and build a deep emotional connection is beyond AI’s capabilities at the moment.

By the end of the decade, gen AI could create new opportunities for CMOs to augment human creativity through advanced analytics, intuitive decision-making, emotional conversations, and context understanding. By 2030, most organizations could be differentiated from each other as “AI innovators” or “fence-sitters.”

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

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• CommBox enables companies to solve an average of 57% of inquiries automatically, and organisations will now be able to deliver contextual, perceptive responses even faster.

• CommBox can deliver a dramatic 40% reduction in customer service costs, as repetitive inquiries are automated and agent productivity is doubled.

• CommBox customers see an average customer satisfaction rate of 92% across automated and live agent supported engagements.

CommBox, the pioneer in AI-powered customer communications, is launching its new generative AI solution. Designed for medium to large businesses across a range of industries including healthcare, banking, retail, telecommunications and insurance, Era AI is based on a winning combination of both proprietary technology developed by CommBox and commercial large language models. Era AI’s functionality scans enterprise knowledge sources and, in just seconds, provides customers with accurate, highly personalised information through the digital messaging channel of their choice.

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“It may seem simple on paper, but going from solely reliant on humans to 80% automation and 20% human is a huge transformation the majority of brands are still trying to navigate.”

Era AI delivers customer service automation, reduces costs for organisations, and dramatically increases the speed and accuracy of enquiry handling. It does this all while increasing customer satisfaction, with CommBox customers seeing a 92% customer satisfaction rate on average. Central to this is Era AI’s ability to analyse a brand’s entire resource base, such as support articles, help and knowledge centres, and website content. It then couples these datasets with a contextual decision path technology that is reflective of how conversations between humans take place.

Era AI also empowers anyone to build intelligent AI-powered chatbots with no coding expertise and its robust capabilities allow for advanced customisation to fit any and all business needs. For example, the platform’s advanced sentiment analysis enables it to reroute calls when necessary, and identify intent to provide end users with a conversational-like experience. The platform can also standardise the manner and tone of written responses in line with brand guidelines, ensuring a consistent customer experience. This is a huge driver of efficiency, leading to a 75% decrease in time taken to onboard agents for businesses.

Era AI also plays a key role in assisting customer service agents, using real-time information to offer personalised recommendations and solutions, enabling them to solve customer queries more effectively. This frees up agents to spend time on tasks that need a human touch, and businesses using CommBox typically see agent productivity double. Era AI delivers for brands that are seeking to reduce call workload and increase revenue by offering customers 24/7 digital channel availability and self-service options, contributing to an overall 40% reduction in customer service costs.

Yaniv Hakim, CEO and co-founder of CommBox, had this to say on the launch: “In the modern business landscape, expensive contact centre models and ineffective chatbots are relics of the past. I’ve seen firsthand how these outdated legacy systems leave customers frustrated and hinder business growth. That’s why we’ve developed Era AI, a revolutionary solution that empowers brands to modernise their customer engagement strategies and unlock the untapped potential of artificial intelligence. Era AI is the key to delivering seamless, personalised, and delightful customer experiences that drive lasting customer loyalty.”

“2024 will be a transformative year for customer service, as businesses are finally able to easily integrate AI to drive huge savings across their customer operations,” adds Dvir Hoffman, Chief Product Officer at CommBox. “It may seem simple on paper, but going from solely reliant on humans to 80% automation and 20% human is a huge transformation the majority of brands are still trying to navigate.”

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“With Era AI, our goal was to help enterprise brands – no matter how complex – to accelerate the move to AI-based automated services, and fundamentally shift how they communicate with their users. This means going beyond simply wrapping new AI models around an existing bot solution to make it a bit smarter, but still disconnected from other systems. It means building a platform connected to a variety of different business flows, ensuring an intuitive and consistent customer journey.”

CommBox offers brands AI on their own terms, with its innovative technology combining with years of industry experience to seamlessly bring brands into the era of automation and intelligent customer service. Deployed by more than 350 global brands such as IKEA, Clarks, AIG, and Suzuki, CommBox has a proven track record of helping leading traditional industries to transform from using legacy customer communications to autonomous, digital solutions.

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

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Read: The Beauty Of AI In The Wood Industry

Google’s Gemini is multimodal

• It’s Google’s biggest and most powerful AI model
• Sophisticated reasoning
• Understanding text, images, audio and more
• Advanced coding
• Gemini Ultra excels in several coding benchmarks, including HumanEval.
• More reliable, scalable, and efficient
• • It looks like it could potentially beat OpenAI’s GPT-4 and ChatGPT as it tops 30 of 32 AI AI model performance benchmarks.
• Trained on an AI-optimized infrastructure using Google’s in-house designed Tensor Processing Units (TPUs) v4 and v5e. And we designed it to be our most reliable and scalable model to train, and our most efficient to serve.
• On TPUs, Gemini runs significantly faster than earlier, smaller, and less-capable models.
• Cloud TPU v5p, designed for training cutting-edge AI models.
• It comes in 3 sizes: Ultra Pro and Nano to function across a broad range of devices including smartphones.
• Gemini has the most comprehensive safety evaluations of any Google AI model to date, including for bias and toxicity.
• Applied Google Research’s best-in-class adversarial testing techniques to help identify critical safety issues in advance of Gemini’s deployment.
• To diagnose content safety issues during Gemini’s training phases such as Real Toxicity Prompts, a set of 100,000 prompts with varying degrees of toxicity
• Gemini Pro in Google products
• Gemini will be available in more of our products and services like Search, Ads, Chrome, and Duet AI.
• Google AI Studio is a free, web-based developer tool to prototype and launch apps quickly with an API key.
• When it’s time for a fully managed AI platform, Vertex AI allows customization of Gemini with full data control and benefits from additional Google Cloud features for enterprise security, safety, privacy, and data governance and compliance.
• Early next year, we’ll also launch Bard Advanced, a new, cutting-edge AI experience that gives you access to our best models and capabilities, starting with Gemini Ultra.

Read: How should CFOs approach generative AI

Can We Use Gemini AI?

More complex coding systems can also be powered by Gemini. Nearly two years ago, Google unveiled AlphaCode, the initial artificial intelligence system capable of producing code that can hold its own in programming contests. A more sophisticated code-generating system, AlphaCode 2, was developed by Google using a modified version of Gemini.

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Oracle Garden is an emerging digital company in the fusion of advanced Generative Pre-trained Transformer (GPT) technology and blockchain. In the latest development, the company has announced the launch of innovative solutions that aims to change the landscape of decentralized artificial intelligence.

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The newly introduced solutions by Oracle Garden are as follows:

• Oracle Garden AI Chatbot: Oracle Garden introduces a Text-Based Web3 AI Chatbot, integrated into its ecosystem. Driven by the powerful Oracle Garden AI, the Chatbot offers a dynamic and intuitive interface, ensuring a versatile user experience.
• AI Image Generator: Oracle Garden develops its AI Image Generator, a solution set to transform visual content creation in the decentralized digital economy. This tool addresses the increasing demand for dynamic and visually captivating content, offering a versatile and innovative approach to image generation
• AI Trading Bot: Oracle Garden introduces its AI Telegram Trading Bot, a sophisticated solution catering to the dynamic realm of cryptocurrency trading. Empowering users with intelligent, automated trading strategies in the decentralized digital economy, the bot utilizes the convenience of the Telegram platform.
• AI Chat SDKs: Oracle Garden leads the way in AI Chat Software Development Kits (SDKs), providing developers with a robust toolkit to effortlessly integrate GPT-powered chat functionalities into their applications.
• Smart Contracts Generator: In the Web3 landscape, Oracle Garden introduces the Smart Contract Generator, acknowledging the pivotal role of smart contracts as foundational elements in decentralized applications.
• Smart Contracts Auditor: In the decentralized digital economy, Oracle Garden addresses the paramount importance of error avoidance and security in a code-is-law environment. With the increasing permanence of data in blockchain and distributed ledger technology, Oracle Garden introduces its Smart Contract Security Assurance.

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Top of Form

Furthermore, at the core of Oracle Garden’s mission is the cultivation of a decentralized ecosystem, where the convergence of GPT technology and blockchain opens the door to a realm of limitless possibilities. The company is dedicated to empowering users with intelligent, secure, and accessible AI-driven solutions, fostering creativity, innovation, and community engagement.

Conclusively, central to Oracle Garden’s ecosystem is its native utility token, $ORACLE. This token is designed to facilitate transactions within the Oracle Garden network, creating a thriving and inclusive environment that transcends traditional boundaries. Users will have access to tools that enable them to navigate the evolving landscape of decentralized technologies.

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

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Multifamily, commercial real estate, and SBA lenders can now dramatically enhance engagement on their websites and improve productivity per employee

Janover Inc., an AI-enabled platform for commercial real estate transactions, announced that its now offering its AI chatbot interface under a software-as-a-service (“SaaS”) model to a select number of commercial lenders. The first collaboration is with Gelt Financial, a leading and innovating commercial real estate lender providing debt to real estate owners across the U.S. Janover has named its AI, Burrito, as each conversation “ought to be unique and delicious” says CEO Blake Janover.

Multifamily, commercial real estate, and Small Business Administration (“SBA”) lenders can now dramatically enhance engagement on their website, quickly qualify and disqualify borrowers, and provide a more delightful experience for website users. Janover’s AI chatbot interacts 24/7 with users in real-time to resolve issues, coordinate transactions, and answer questions, in addition to handling lead generation and qualification. This technology is set to redefine the way commercial lenders interact with their clients. By enabling high-empathy, intricate conversations directly on their websites, the chatbot streamlines the process of qualifying leads, introducing team members, and providing rapid responses to user inquiries. Lenders enrolled in the Janover platform have the priority opportunity to join the waitlist and enhance their websites with an AI chatbot that totally “gets” commercial real estate financing and sales. It has been the subject of significant training and optimization by the Janover team over the last year in the context of commercial real estate finance.

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Blake Janover, CEO of Janover, stated, “This advancement is not just about enhancing the borrower experience; it represents a leap forward in increasing productivity for every employee, customer service agent, and loan originator in banks, credit unions, private lenders, and more. It’s a first step in improving processes and productivity for lenders across America on behalf of all their stakeholders. Our AI application, offered on a subscription basis, marks an exciting new chapter in our journey. Sharing our technology with other industry leaders puts us in a position to become part of the fabric of all the commercial loan transactions in America while further enhancing the quality and predictability of our revenue. Our goal is to significantly elevate the borrower’s experience by offering instant connectivity and feedback, revolutionizing sales, and customer service in the commercial financial sector. In the future, we aim to add the same capabilities including email, text, and voice that we currently have within our core business. We are particularly excited to collaborate with Gelt Financial, a company at the forefront of combining borrower experience, thoughtful underwriting, and technology in the commercial lending space.  Their eagerness to integrate our AI application into their operations showcases their commitment to staying ahead of the curve.”

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Noah Miller, Vice President of Gelt Financial, commented, “We are extremely excited to be the first to adopt Janover’s innovative AI chatbot for the benefit of our customers, borrowers, and staff. This collaboration aligns perfectly with our mission to leverage cutting-edge technology to enhance our borrower experiences and to continue to be the most efficient and productive version of ourselves. We believe that their AI solution is a perfect fit for us and represents a significant step in redefining industry standards.”

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

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What is ChatDev?

As a virtual software corporation, ChatDev is run by several intelligent agents who play various positions such as CEO, CTO, Programmer, Tester, and more. This group of agents has come together to establish a multi-agent organization with a common goal: to “revolutionize the digital world through programming.” The agents in ChatDev work together by taking part in functional seminars that cover topics like design, coding, testing, and documentation.

An appropriate setting for investigating collective intelligence, ChatDev’s principal goal is to provide a user-friendly, highly customizable, and extensible platform based on large language models (LLMs).

Using CHATDEV, on average, it took 409.84 seconds, or less than seven minutes, to create lightweight applications and user interfaces. In contrast, even when employing agile software development methodologies, traditional custom software development cycles might last anywhere from two weeks to several months.

Last quarter, a group of academics showed that ChatGPT could follow human instructions given in plain English and create a basic, producible microchip from scratch in under 100 minutes. A separate team from Chinese and American academic institutions decided to go even further and remove people from the creative process.

They built a group of chatbots using ChatGPT 3.5, with each bot playing the part of a different employee at a software company, such as the chief executive officer, chief technology officer, chief product officer, programmer, code reviewer, code tester, or graphic designer.

Each was given instructions on what to do and how to interact with the others in the experiment, including their “designated task and roles, communication protocols, termination criteria, and constraints.”

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The artificial intelligence (AI) team at ChatDev (the company’s name) was responsible for everything else, including coming up with solutions, selecting languages, designing the interface, testing the output, and making any necessary adjustments.

Perhaps soon, but not yet. The paper’s authors concede that, while the bots’ output was generally functional, it didn’t always meet expectations (although this is also true of human workers; think of all the times you performed precisely what the customer wanted and they were still angry).

It was also acknowledged that the AI itself might have biases and that the deployment parameters could significantly alter the AI’s output, perhaps rendering it useless. In other words, proper bot configuration is essential for optimal performance. For the time being, a surge in human-AI collaboration is anticipated rather than complete automation.

On the other hand, it’s hard to shake the feeling that this is how we’ll be training our successors and that in the not-too-distant future, humans will be relegated to the role of AI taskmasters, while understanding computer programming will be on par with knowing Latin.

Read OpenAI Open-Source ASR Model Launched- Whisper 3

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Clarus Communications, a leading technology solutions distributor announced the launch of Charlie an AI chatbot built on the Falcon AI Large Language Model. Designed exclusively for technology distribution, the AI chatbot aims to transform how agents interact with their customers.

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Platform enables anyone to create, claim and monetize their AI digital identity across web platforms, games, advertising, brand partnerships and more

Hollo.AI announced the launch of its AI platform that allows anyone to create, claim and own their AI persona and identity along with their Hollo.AI Page, a social profile link-in-bio page that features their own personalized chatbot, links to their various social media and websites, plus capabilities to monetize their AI persona with AI Side Hustles. With Hollo.AI, users can create, verify and manage their own AI “digital twins,” monetizing through AI Side Hustles like content creation across games, metaverses, podcasts, virtual assistance, audio books, voiceovers, customer service, brand deals and much more. Hollo.AI empowers ethical usage of AI via blockchain verification and registration to promote trust and transparency between creators, fans and businesses. Verified Hollo.AI Twins will earn a verified “blue check mark” signifying that it is their official verified AI identity.

“With AI moving at rapid speed, many creators are looking for a way to control what happens to their digital image,” said Rex Wong, CEO of Hollo.AI. “Hollo.AI provides users with sovereign ownership of their AI, allowing them to say, when, where, and how it is used; and unlike many other platforms, enables them to monetize through AI Side Hustles and earn revenue from licensing their digital persona.”

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Users and Creators from every industry can benefit from using Hollo.AI to engage with their respective audiences. Simply sign up with the Hollo.AI app and create an AI twin and Hollo.AI Page using a selfie and a short voice recording describing themselves. Each digital twin and Page is created in less than a minute with the option to claim and verify its identity, which is then recorded and registered on a blockchain ledger registry.

Using a multi-language, interactive chatbot to answer questions and interact with followers, the app builds an AI Twin based around a real persona or an alter-ego. Digital twins continue learning based on a user’s social links as well as through friendly conversational chats via Hollo.AI’s innovative ChatBuddy, a novel chat-based interface that helps Hollo.AI gain a deeper understanding of the user’s personality, interests, and communication style. From there, users can create exclusive content communities with memberships, facilitate fan engagement, offer content subscriptions, shopping experiences and make brand deals through the platform, setting their own price to license their image and AI identity.

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Hollo.AI features several key aspects:

1. The Hollo.AI Page is an AI social link-in-bio page that features the user’s AI Twin that greets and interacts with followers, providing a one-stop-shop for a user’s followers to chat with their AI Twins, book a personalized video, shop a user’s products and join their membership clubs, via a streamlined link that can be shared across social platforms such as Instagram, YouTube and TikTok.

2. Hollo.AI AI Side Hustles enable users to establish side businesses, such as private label merchandising and e-commerce, master classes and digital content, all created with Hollo.AI’s assistance. Unlike traditional methods, these businesses can be set up effortlessly by merely conversing with Hollo.AI ChatBuddy. This feature not only democratizes entrepreneurship but also integrates AI seamlessly into the process.

3. Hollo.AI Marketplace acts as a marketplace portal for managing representation and brand licensing for AI Twins, NIL, identity and even their actual self, allowing brand and companies to hire, book or license a Hollo.AI user or their AI Twin, while letting users manage opportunities, engagement and monetization directly from their Hollo.AI dashboard.

4. Hollo.AI Connect offers users a personalized AI conversational chatbot of themselves that can interact and engage with fans and followers and act as a receptionist or salesman, greeting users visiting their Hollo.AI Page and answering questions about products, services or themselves.

“We envision Hollo.AI as the definitive verification mark for AI, similar to claiming domain names for the web or getting a blue checkmark for a verified social profile,” said Wong. “By leveraging KYC and a public AI blockchain ledger registry, we aim to bring transparency and ethical standards to the AI space while unlocking unprecedented opportunities for creators and fans.”

Hollo.AI is free to join and can be upgraded to a premium model for an ad-free experience, AI Twin customization, more advanced features, expanded AI Twin training and enhanced AI protection as well as more monetization opportunities. Hollo.AI will initially be available to invited beta users.

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

The post Hollo.AI Launches Platform to Create and Secure Ownership of AI Digital Identity and Monetize with AI Side Hustles appeared first on AiThority.