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Co-founders of a startup discuss their experiences with generation AI and what lies next

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Startup fellow benefactors uncover their gen artificial intelligence excursions and how they see the street ahead

Generative man-made brainpower is the narrative of the year, and advancements are reshaping enterprises in all cases. At Supercloud 4, theCUBE is unloading every one of the hotly debated issues, advances, plans of action and, obviously, new businesses.

Two of those youthful, hot new businesses incorporate Kubiya.ai and Wand.ai. In the last option case, Wand.ai tries to act as a business right hand, taking generative computer based intelligence and empowering it for big business organizations, as per Yogev Shifman , fellow benefactor and boss item official at Wand.ai.

“Basically, strike down any barrier for entry for generative AI technologies for those kind of companies,” Shifman said.

In the mean time, Kubiya.ai is looking to tackle a specific trade among designers and stage engineers and DevOps, as per Amit Eyal Govrin, fellow benefactor and CEO of Kubiya Inc. With regards to self-administration for associations — how to basically serve yourself to foundation, mechanization and information — things aren’t instinctive 100% of the time.

“Even in 2023 with large language models, there’s still a lot of adoption barriers, and we’re seeing that plateau. Most organizations who pick up [an] internal developer platform or try to develop themselves usually have a 10% adoption barrier,” Govrin said. “That’s typically what we’re seeing even with Backstage and technologies of that nature. And our thesis all along has been, how do you go and unlock that?”

Shifman and Govrin talked with theCUBE industry experts John Furrier and Dave Vellante at Supercloud 4, during a selective transmission on theCUBE, SiliconANGLE Media’s livestreaming studio. They examined the originators’ dreams and excursions while underlining the significance of execution and separation.

Riding the wave

Obviously, as a startup, it’s critical to stay nimble with regards to an open door acknowledgment viewpoint. For Kubiya.ai, it included an underlying conversation of an idea that included “Siri for DevOps” — a conversation that occurred around “45 days and 12 hours” before ChatGPT, as indicated by Govrin.

“Then, ChatGPT came to the world, and then the biggest barrier of entry for us, the market education, we didn’t have to concentrate on that anymore — a million people in 48 hours,” he said. “All of a sudden, we’re on the platform, enjoying conversational AI with the machine. Now where do you take this?”

For Kubiya.ai, the organization previously had every one of the scars of preparing its own models and actually making rule-based frameworks and combining them with LLMs. The following inquiry was the way to proceed to reign in the business potential.

“We saw the agent-based framework as the way to do it. People, even though they enjoy talking to intelligence machines, they still want a bidirection interaction,” Govrin said. “Workflow-based systems are one-directional. So, how do you go and create the nearest best thing to a human interaction? It’s with agent framework, obviously chain of thought, chain of reason, retrieval, augmentation. You can go through all the different practices here. At the end of the day, it’s a human interaction.”

Guidance for different pioneers

Nowadays, individuals consume such a lot of content across so many different applications, with an immense measure of information gathered. Wand.ai needs to be a useful partner for any undertaking one needs to perform on a business day to day, as indicated by Shifman.

“A big part of it is personalization — really taking your data and connecting it to who you are [in] the organization. What is your contribution to the organization, or how do you like to interact with it?” he said. “Nowadays, when you interact with a bot, we call it passive personalization. You tell it what to do, and, eventually, it does whatever it does. We develop what we call active personalization. We can actually learn what you’re trying to do.”

The market is moving quick, and innovation is advancing rapidly. There’s shrewd cash out there this moment, and the main thing is execution, as per Shifman.

“I think that’s the one thing startups need to have in mind,” he said. “Not investors, not the markets. You just need to focus on your execution — because [we] are agile. We can move fast, we can break stuff. And differentiate, like decide on the value that you bring to the market that no one else does, even if it’s small, and make it grow.”

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Intel has Optimized 500 Artificial Intelligence Models for Core Ultra Processors

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“An important milestone has been reached in Intel’s efforts to establish itself as the leading chip supplier for AI PCs: the company announced that over 500 AI models have been optimized for its Core Ultra processors.”

The AI models, according to the Santa Clara, California-based company, cover “more than 20 categories of AI, including large language, diffusion, super resolution, object detection, and computer vision,” as of Wednesday. These models are available from industry partners Hugging Face, PyTorch, ONNX Model Zoo, and OpenVINO Model Zoo.

These include Google’s Bert natural language understanding model, Microsoft’s Phi-2 small language model, Meta’s Llama large language model, OpenAI’s Whisper speech recognition model, Stability AI’s Stable Diffusion 1.5 text-to-image generation model, and the Mistral language model.

Models “form the backbone of AI-enhanced software features like object removal, image super resolution, or text summarization,” according to Intel, which highlights the significance of its optimization work. It further stated that the models are compatible with the Core Ultra’s neural processing unit (NPU), GPU, and CPU.

According to the company, “the breadth of user-facing AI features that can be brought to market and the number of enabled/optimized models are directly correlated.” It is impossible to design a feature without a model. The feature cannot operate at its peak efficiency without runtime optimization.

The semiconductor giant is in an arms race with rivals AMD and Qualcomm to not only provide the best processors for AI PCs but also to enable compelling software experiences with the goal of creating greater demand for their respective products.

Along with the AI model optimization project, Intel has been developing over 300 AI-powered features for PCs with Core Ultra processors in collaboration with more than 100 independent software vendors (ISVs). In December, the company released its Core Ultra lineup; this is being done as part of its AI PC Acceleration Program, which was started a few months prior.

The company stated that the work it has done to establish AI PCs as a new device category and the investments it has made in client AI processing, framework optimizations, AI tools like OpenVINO, and other related areas have made its software enablement work possible.

Robert Hallock, vice president and general manager of AI and technical marketing in Intel’s Client Computing Group, said in a statement, “This unmatched selection reflects our commitment to building not only the PC industry’s most robust toolchain for AI developers, but a rock-solid foundation AI software users can implicitly trust.”

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Conduent and Microsoft Collaborate to Use AI to Increase Business Efficiency

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AI-Powered Strategic Alliance for Improved Business Operations

Conduent, a provider of business services, recently announced a strategic partnership with Microsoft. The purpose of this partnership is to lead the way in generative artificial intelligence (AI) applications in important industries. The partnership’s primary goals are to use AI to transform healthcare administration, improve customer support, and strengthen fraud detection systems.

Boosting Cloud-Based Secure AI Adoption

Conduent’s clients will be able to take advantage of a secure cloud environment at a faster rate thanks to the synergy between Conduent and Microsoft. Three generative AI pilot programs are presently being developed by the alliance, one of which aims to efficiently extract data from medical documents. The goal of this project is to use Microsoft’s Azure AI Document Intelligence and Azure OpenAI Service to expedite the resolution process.

AI’s Strong Effect on the Growth of Small Businesses

The applications of AI go beyond the healthcare sector and include small businesses, where AI is thought to be a growth accelerator. AI has many uses, from enhancing customer service to automating marketing campaigns to expand its market reach. Particularly tailored AI solutions are being developed for small businesses, taking into account their unique resource limitations, making advanced AI tools more accessible to them.

Businesses with limited resources can now benefit from AI models developed by companies like Microsoft, which has garnered attention and given them a competitive advantage in the market. Supporters of these scaled models emphasize how easy it is to integrate, how affordable, and how little data these models require—all of which are advantageous for most companies that handle large volumes of sensitive data.

Conduent and Microsoft’s partnership is a big step toward bringing artificial intelligence (AI) into conventional business models, optimizing workflows, and establishing new benchmarks for customer and client interaction.

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A positive mindset, steering positive financial change, meet Oz Clement Knight

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Oz Clement Knight pushes boundaries as a top financial educator and entrepreneur, inspiring lives worldwide.

It is sometimes not just about feeling passionate about working in a particular field; it is more than that for a few rare professionals and business owners who strive for excellence daily, besides feeling passionate about all they choose to lay their hands on. When we saw the rise of Oz Clement Knight, who has been in the financial sector for several decades, we understood how a person needs to surrender to his aspirations and goals in life to push boundaries and steer positive change.

Oz Clement Knight is all about this and beyond. At every step in his journey, he has proved why he deserves to be called a leader in the financial realm, for he has stayed committed to taking his clients to the financial success they wish to achieve and, in the process, has reached the forefront of the industry.

He has been pioneering financial success for others through two incredible ventures, namely OHL Ventures Fund LLC and Ozmarq Holdings Ltd. The former is a Delaware series limited liability company to make venture capital and growth equity investments in diverse leading seed stage, early stage, and developmental stage and later stage private companies, with companies engaged in social media, social media, life sciences, and clean tech businesses. Through the fund, he promises to create returns for investors by helping them identify and invest in potential leading-edge companies that can later provide them with massive returns.

The latter serves as the Manager of the fund that will establish a series of funds for purchasing securities of a portfolio company/companies from a secondary source, making a separate and distinctive investment directly in a portfolio company/companies, and/or investing in the interests of investment funds, special purpose vehicles, or other entities whose portfolios consist of one or more portfolio companies.

With his years of experience and knowledge in private wealth management, investment banking, and capital markets, the financial educator, who loves spreading his knowledge among others, especially the youngsters in the field, has ensured that he offers financial services that cater to the individual needs of his clients, eventually empowering them to navigate the varied financial complexities in their journey to reach financial success.

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