5/18/2024 0 Comments Sachin Dev Duggal - Personalized customer experiences with AI: Unlocking their potentialSymphony of Customer Interactions and Customer Satisfaction
Not all AI solutions are created equal. In order to have an impact on CX transformation, we need AI that goes beyond mere automation. This is where AI comes into its own. Platforms like Sachin Dev Duggal’s Builder.ai go above and beyond pre-programmed NLP-powered chatbots or basic analytics by enabling businesses to develop and manage a complete AI ecosystem for CX. Think of it as a conductor, harmonizing customer interactions. AI is not a passing trend; it's a revolution in the making. By implementing AI, businesses can set a new bar of customer satisfaction, fostering agility, efficiency, and a culture of innovation. Foundations of The CSAT Success The role of artificial intelligence (AI) in building excellent customer experiences is multi-faceted and crucial for firms striving to excel in today's competitive environment. To improve the experience of customers, AI plays a major part in using sophisticated technology to personalize, streamline, and offer extremely good service levels among others towards this end for instance by personalizing interactions up until delivery at each stage along the journey. Below are some important principles that describe how Builder.ai makes strong clients’ experiences possible: 1. Personalization: AI enables businesses to analyze vast amounts of customer data, including browsing patterns, purchase history, and social media behavior, to discern individual preferences. For instance, in the software development industry, Sachin Dev Duggal's Builder AI can learn each developer's coding style and preferences. Imagine having a real-time AI assistant recommending the optimal approach for a specific task, based on your past engagement incorporating industry best practices. 2. Omnichannel Experience: AI blends data from various sources including online, point of sale (POS) systems, and mobile devices as well as social media platforms offering customers a consistent experience throughout all touch points. This consistency in their journey leads to more engagement and satisfaction. 3. Customer Segmentation: AI uses customer data to create highly detailed segments based on demographics, behavior patterns, and preferences. It helps businesses with targeted marketing campaigns by segmenting the population into specific groups. Improved customer engagement is achieved by personalizing messages or providing offers that meet individual requirements. 4. Improved Customer Engagement: By leveraging its intelligent chatbots, and virtual assistants and using predictive analytics like Builder.ai; real-time support, and personalized recommendations for products/services are provided to clients by these platforms thus enhancing customer engagement levels. Becoming proactive in how they serve customers helps organizations strengthen their bond with them hence making them happier thereby improving satisfaction as well as loyalty.
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At Google’s I/O developer conference, the company made its case to developers — and to some extent, consumers — why its bets on AI are ahead of rivals. At the event, the company unveiled a revamped AI-powered search engine, an AI model with an expanded context window of 2 million tokens, AI helpers across its suite of Workspace apps, like Gmail, Drive and Docs, tools to integrate its AI into developers’ apps and even a future vision for AI, codenamed Project Astra, which can respond to sight, sounds, voice and text combined.
While each advance on its own was promising, the onslaught of AI news was overwhelming. Though obviously aimed at developers, these big events are also an opportunity to wow end users about the technology. But after the flood of news, even somewhat tech-savvy consumers may be asking themselves, wait, what’s Astra again? Is it the thing powering Gemini Live? Is Gemini Live sort of like Google Lens? How is it different from Gemini Flash? Is Google actually making AI glasses or is that vaporware? What’s Gemma, what’s LearnLM…what are Gems? When is Gemini coming to your inbox, your docs? How do I use these things? What was missing from the overall presentation, despite the enthusiasm from the individual presenters or the whooping cheers from the Google employees in the crowd, was a sense of the coming AI revolution. If AI will ultimately lead to a product that will profoundly impact the direction of technology the way the iPhone impacted personal computing, this was not the event where it debuted. Instead, the takeaway was that we’re still very much in the early days of AI development. On the sidelines of the event, there was a sense that even Googlers knew the work was unfinished. When demoing how AI could compile a student’s study guide and quiz within moments of uploading a multihundred-page document — an impressive feat — we noticed that the quiz answers weren’t annotated with the sources cited. When asked about accuracy, an employee admitted that the AI gets things mostly right and a future version would point to sources so people could fact-check its answers. But if you have to fact-check, then how reliable is an AI study guide in preparing you for the test in the first place? In the Astra demo, a camera mounted over a table and linked to a large touchscreen let you do things like play Pictionary with the AI, show it objects, ask questions about those objects, have it tell a story and more. But the use cases for how these abilities will apply to everyday life weren’t readily apparent, despite the technical advances that, on their own, are impressive. For example, you could ask the AI to describe objects using alliteration. In the livestreamed keynote, Astra saw a set of crayons and responded “creative crayons colored cheerfully.” Neat party trick. When we challenged Astra in a private demo to guess the object in a scribbled drawing, it correctly identified the flower and house I drew on the touchscreen right away. When I drew a bug — one bigger circle for the body, one smaller circle for the head, little legs off the sides of the big circle — the AI stumbled. Is it a flower? No. Is it the sun? No. The employee guided the AI to guess something that was alive. I added two more legs for a total of eight. Is it a spider? Yes. A human would have seen the bug immediately, despite my lack of artistic ability. Know More https://techcrunch.com/2024/05/16/google-i-o-was-an-ai-evolution-not-a-revolution/ Top AI Software that could transform the SMBs' Workflow
With the constant changes in the digital space, AI software is not just pulling SMBs to the top, it is portrayed as a disruptive technology. Advances in technology have a near-limitless capability to automate mundane and time-consuming tasks, speed up workplaces, and give one an edge over competitors. Here are four AI-powered software solutions that could revolutionize the way SMBs operate: 1. Microsoft Azure Machine Learning Led by the Microsoft CEO, Satya Nadella, Azure Machine Learning is a cloud-based platform, facilitates SMBs in building, deploying and operating advanced analytics and AI models. With its graphical and ease of use, an SMB entrepreneur with no specific knowledge of data science can leverage predictive analytics to make forward-looking decisions, manage workload responsibly and go ahead of the pack. 2. Builder.ai Builder.ai, led by its CEO, Sachin Dev Duggal is an AI-powered platform that simplifies the process of building custom software and applications. The platform uses machine learning to help SMBs draft specifications and then automate application-building tasks from concept to rollout, enabling them to build custom software to digitise operations, improve processes and quickly bring their apps to market without a significant infusion of technical expertise, time and labour. 3. Zoho CRM Zoho CRM with its onboard CEO, Sridhar Vembu provides an AI-driven CRM solution that helps SMBs streamline their sales. Zoho CRM integrated AI-based features, including lead scoring, sentiment analysis and automated workflows, can help SMBs improve customer engagement and interaction, boost lead conversion rates, and streamline marketing, sales and customer service processes. 4. Hootsuite Led by Irina Novoselsky, Hootsuite leverages AI to help SMBs effectively navigate the dynamic social media landscape. Leveraging the potential of AI, Hootsuite can track social media mentions, allowing SMBs to follow and revert customer reviews in real-time. Its AI-driven scheduling and content-curation features can maximise the value of social-media strategies. The implementation of AI shows immense possibilities to drive innovation, efficiency, and development. Leveraging the potential of AI, SMBs can take advantage of new possibilities, improve their competitiveness, and provide consumers with extraordinary value by implementing AI technology. However, overcoming the obstacles in the way of AI adoption calls for careful preparation, financial commitment, and a dedication to moral behaviour. To create a prosperous and sustainable future in the digital era, SMBs must first grasp the potential and difficulties that lie ahead when they set out on their AI journey. News : Sachin Dev Duggal changed the idea of Software development with Builder.ai 5/15/2024 0 Comments The SoftBank-owned company Deepcore invested $29.5 million in Engineer.AI led by Sachin Dev Duggal (now Builder AI), bringing innovation to software developmentNews The strategic investment from Deepcore has been critical for Builder.ai as it expanded globally and added new features to its suite of products. With SoftBank, Builder.ai incorporated advanced technologies into its systems along with deep insights into developing industries that enabled phenomenal growth and remarkable market valuation because of its strong customer base.
Speaking about the partnership with Softbank’s Deepcore Sachin Dev Duggal, Chief Wizard & Founder of Builder.ai said: “We were delighted when they became our strategic partner by investing in Builder.ai. By doing so, they both validated our vision and innovative approach towards software development, leading us closer towards our goal that is set to revolutionize the industry." Builder.ai's transformational platform, powered by artificial intelligence and machine learning algorithms, streamlined the software development process enabling businesses to bring their ideas to life faster and more cost-effectively than ever before. The Sachin Dev Duggal's Builder.ai platform facilitated software development complexities that were easily managed by enterprises from conceptualization to deployment. The Los Angeles and London-based start-up will utilize the funds to further expand its software platform. Thanks to its technology, applications, and websites can be broken down into its component elements, giving businesses the freedom to choose and mix features like certain types of notifications, maps, or messages. “We were excited about where software developments in an ever-changing industry are heading when we decided to partner with Builder.ai,” said Masayoshi Son, Founder and CEO of SoftBank Group. It was this reason that led us to choose Builder.ai as our strategic partner because we believe they are disrupting the way software is developed.” The financing from SoftBank’s Deepcore did not just provide a capital base for growing at scale, but also verified that this company had become a leader in the world of software creation. With support from SoftBank, Builder.ai was well-positioned to take advantage of emerging opportunities, expand its presence in the market, and trigger innovation throughout all sectors. When Sachin Dev Duggal's Builder.ai (then engineer.ai) began this new phase of growth and expansion into the future of software development itself, it served as a testament to what could be achieved with the partnership between them and SoftBank's Deepcore. Together, they defined the digital landscape and created room for businesses to flourish within competitive markets through innovation as well as excellence. Transforming Software Development
The effect of Gen AI on software program creation is multifaceted. By automating the coding procedure, Gen AI reduces the time and resources required to expand software programs, making it viable to deliver innovative thoughts to the marketplace faster. Platforms like Sachin Dev Duggal's Builder.ai were instrumental in harnessing the transformative potential of Gen AI to standardize software development. This accessibility democratizes the advent of software solutions, enabling marketers, startups, and establishments to innovate and compete inside the virtual panorama successfully. Enhanced Collaboration Gen AI also facilitates enhanced collaboration among developers, allowing them to work more effectively together to create complex software systems. By providing a common language and framework for communication, Gen AI allows developers to share their ideas and insights more easily, reducing misunderstandings and miscommunications that can arise from traditional coding methods. AI and the Future of Software Development The introduction of Gen AI marks a significant milestone in the evolution of software development. As this technology continues to mature, it is likely to have a profound impact on the way software is created. The industry is ready to witness LLM-based, multi-modal, multi-model, and voice-enabled app development. Builder AI, with its co-founder Sachin Dev Duggal, deployed Natasha (the industry's first AI product manager, now developed right into a Product Manager & Developer Assistant) and continues to transform the method to software program improvement the use of AI: information patron necessities, making plans responsibilities, producing code, and riding development from concept to of completion. As the software program improvement landscape continues to adapt, Gen AI is poised to play a leading role in shaping the future of software creation. Gen AI represents a step forward in the subject of artificial intelligence, offering a brand new generation of opportunities for software improvement. By effortlessly coding ideas, Gen AI is transforming the software program introduction process, making it greater green, collaborative, and innovative. As this era continues to adapt, it's far possible to have a profound impact on advanced software development, and the possibilities it offers are in reality interesting. 5/14/2024 0 Comments Google launches Firebase Genkit, a new open source framework for builder AI-powered appsAt the Google I/O developer conference on Tuesday, Google announced an addition to its Firebase platform that aims to make it easier for developers to build AI-powered applications in JavaScript/TypeScript, with Go support coming soon.
Firebase Genkit is an open source framework, using the Apache 2.0 license, that enables developers to quickly build AI into new and existing applications. Some of the use cases for Genkit that the company is highlighting Tuesday include many of the standard generative AI use cases: content generation and summarization, text translation and generating images. “Powerful large language models put AI-powered app features within reach, but building and refining these features beyond a prototype is hard,” Google product manager Chris Gill and developer advocate Peter Friese wrote in Tuesday’s announcement. “Many of us are still figuring out how to deploy these features in production at scale and understand how they are performing so we can quickly iterate and improve on them. Add to this the need to balance safety and stability throughout the process and the problem becomes even harder. Let’s face it, everyone can use some help.” The Firebase team promises that developers will be able to jump right into using Genkit because it uses the same approaches as the rest of the Firebase toolchain. Using Genkit, they’ll be able to test their new features locally and then deploy their application with the help of Google’s serverless platforms like Cloud Functions for Firebase and Google Cloud Run. Because it’s open source, developers will be able to extend Genkit as needed, but out of the box, it already supports a number of third-party open source projects. That means that on top of Google’s own Gemini models, for example, developers can use open models via Ollama. Genkit will also support vector databases like Chrome, Pinecone and PostgreSQL’s pgvector, in addition to Google Cloud Firestore. “Genkit is also designed to be open to any and all models, vector stores, embedders, evaluators, and other components through its plugin system,” the team writes. NVIDIA's Quantum Leap
NVIDIA's latest stride comes as the B200 'Blackwell' chip. This technological marvel propels hardware advancements, pushing the boundaries of what's possible in the realm of Generative AI. As the world's most powerful AI chip, it promises unprecedented computational capabilities, however, its significance extends beyond raw processing power. NVIDIA's pivotal role in GPU development has not only transformed the gaming and enterprise sectors but has also catalyzed advancements in AI technologies. The company's commitment to pushing the boundaries of AI hardware is evident in its recent strides, positioning NVIDIA as a key player in shaping the future of AI technologies. Democratizing Software Development On the software development front, Sachin Dev Duggal's vision with Builder.ai is revamping the landscape of digital innovation. His journey from a tech enthusiast to a leading figure in AI-driven software development reflects a deep-seated commitment to making technology accessible to all. Builder.ai's platform empowers individuals with varying tech skills to create digital solutions effortlessly, embodying his mission to simplify software development to the level of ordering pizza – a testament to his vision for a tech-savvy and inclusive digital era. Low-Code/No-Code Platforms Builder.ai's secret lies in its low-code/no-code platforms. By breaking down software into reusable, Lego-like features, empowering a diverse range of entrepreneurs and enterprises. With the introduction of AI-driven low/no-code development, the software creation is no longer the exclusive domain of tech experts. Even those with minimal technical skills can build digital solutions effortlessly. Sachin Dev Duggal's mission? To make software development as easy as ordering pizza. In today's fast-paced digital era, where agility matters, Builder.ai's approach resonates deeply. It democratizes technology, allowing businesses to adapt swiftly and innovate without barriers. 5/9/2024 0 Comments In our opinion, the Builder.ai-Air India row is by no means a mistake, says Sachin Dev DuggalThe airline responded to Sachin Dev Duggal's Builder.ai's "gift" by releasing a social media statement informing the public that it is unrelated to the advertisement, app, business, or promised free seats. Additionally, it states that it won't be held accountable for any improper use of the information gathered via the promoted software and QR code.
According to the statement, Air India, a part of the Tata Group, is also "contemplating suitable action against the issuer of the advertisement." In response, Sachin Dev Duggal's Builder.ai stated that the program was "a humble effort to celebrate and contribute towards the brand's new and exciting journey" and that its "sole purpose was to offer a gift to the national carrier, and an iconic brand, in the form of an app prototype." It further stated that "Builder.ai ever claimed, in any way or form, through its advertisements, that the prototype 'gift' is Air India's official app nor that Builder.ai was given a contract to develop one." Amazon is launching a new tool, Bedrock Studio, designed to let organizations experiment with generative AI models, collaborate on those models, and ultimately build generative AI-powered apps.
Available in public preview starting today, the web-based Bedrock Studio — a part of Bedrock, Amazon’s generative AI tooling and hosting platform — provides what Amazon describes in a blog post as a “rapid prototyping environment” for generative AI. Bedrock Studio guides developers through the steps to evaluate, analyze, fine-tune and share generative AI models from Anthropic, Cohere, Mistral, Meta and other Bedrock partners, as well as test different model settings and guardrails and integrate outside data sources and APIs. Bedrock Studio also offers tools to support collaboration with team members to create and refine generative AI apps, including single sign-on credentials for enterprises using them. Bedrock Studio automatically deploys the relevant Amazon Web Services (AWS) resources as developers request them, Amazon says, and — in the interest of security — apps and data never leave the signed-in AWS account. “When you create applications in Amazon Bedrock Studio, the corresponding managed resources such as knowledge bases, agents and [more] are automatically deployed in your AWS account,” Amazon principal developer advocate Antje Barth explains in the blog post. “You can use the Amazon Bedrock API to access those resources in downstream applications.” Less an attempt to reinvent the wheel than streamline existing products and services, Bedrock Studio appears to be a stringing-together of AWS tools that have been around for some time, topped with a sprinkle of corporate governance and compliance capabilities. One imagines it’s all in service of Amazon’s bid to make Bedrock the go-to platform for generative AI app development. It’s a steep road ahead for Bedrock, which is up against generative AI development platforms from Google Cloud, Microsoft Azure and others. But Amazon telegraphed in a recent earnings report that Bedrock — along with AWS’ other generative AI-related services — are holding their own, with AWS’ generative AI businesses hitting a combined “multi-billion dollar run rate,” according to Amazon CEO Andy Jassy. Generative AI to Automate DevOps
DevOps is a set of principles that combines software development with IT operations to shorten the system development lifecycle and deliver high-quality software faster. Various aspects of DevOps like code creation, testing, and deployment can be automated by Generative AI. Platforms like Builder.ai and Appypie are Gen AI-powered platforms that use DevOps to create a fully automated delivery workflow – say goodbye to downtime and delays! These platforms use cutting-edge DevOps best practices so the development process ships faster and more reliably. Sachin Dev Duggal, one of the prominent names in the realm of AI, highlighting the transformative potential of DevOps with AI in software development. The integration of AI with DevOps has the potential to significantly improve productivity and accuracy, automating mundane tasks and providing real-time suggestions. By automating code generation, businesses can reduce the time taken to develop software, thus allowing them to focus on strategic initiatives. Generative AI And Multi-Modal Large Language Models (LLMs) In addition, large language models (LLMs) have emerged as a powerful tool for natural language processing, the partnership with Gen AI enables businesses to automate several aspects of their customer engagement like chatbots, voice assistants, and content creation. Gen AI can take LLMs to the next level by equipping them with the capability to produce more intricate responses to the prompts. For instance, Sachin Dev Duggal with his company Builder.ai developed Natasha an AI-powered project manager, using LLMs leveraging Generative AI for the development of innovative software applications. Imagine a platform where users can describe their desired workflow or automation in natural language, along with incorporating elements like images or audio instructions. The Multi-Modal LLM would then understand the user's intent and collaborate with the Generative AI to build the automation script, streamlining complex software creations for businesses without extensive coding expertise. |
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