NASSCOM Report Unveils Indias Generative AI Startup Landscape 2024

Patent Landscape Report Generative Artificial Intelligence GenAI 5 Patent trends in GenAI applications

As these systems can create original work from patterns in data lakes or question snippets, it’s unclear who owns the rights. In fact, it’s not just about creating more content but shaping unique narratives based on insights that might be overlooked by human minds. This transformative tech opens doors for creatives who need fresh ideas or help to break free from routine approaches.

The continuous advancements in deep learning have been a key driver for the growth of the generative AI market. Deep learning algorithms, especially those based on Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), have revolutionized the field of generative modeling. GANs have been particularly instrumental in generating realistic and high-quality synthetic data. VAEs, on the other hand, have enabled the creation of latent spaces that facilitate smooth interpolation between data points, allowing for seamless generation of diverse outputs. Sustained Category LeadershipThe best Generative AI companies can generate a sustainable competitive advantage by executing relentlessly on the flywheel between user engagement/data and model performance.

Things in AI are both moving so fast, and getting so much coverage, that it is almost impossible to provide a fully comprehensive “state of the union” of the MAD space, as we did in prior years. We’ve made very few changes to the overall structure of the left side of the landscape – as we’ll see below (Is the Modern Data Stack dead?), this part of the MAD landscape has seen a lot less heat lately. Sign up for our a16z newsletter to get analysis and news covering the latest trends reshaping AI and infrastructure. For example, Microsoft’s Azure-hosted OpenAI has gained significant traction among enterprises, largely due to providing the same control stack as Azure overall.

The business of AI: Big Tech has a head start over startups

And more importantly, this innovation made it so existing generative AI developers could extend their models to other users at an affordable rate. In 2017, Google laid the foundation for the generative AI we use today when the company first proposed a neural network architecture called the Transformer. With transformers, it became possible to create higher-quality language models that could be trained more efficiently and with more customizable features. At this time, tools with predictive text and simple AI chatbots began to emerge and mature sparsely. Like LLMs, AlphaGo was first pre-trained to mimic human experts from a database of roughly 30 million moves from previous games and more from self-play.

8 AI and machine learning trends to watch in 2025 – TechTarget

8 AI and machine learning trends to watch in 2025.

Posted: Fri, 03 Jan 2025 08:00:00 GMT [source]

Video and 3D models are some of the fastest-growing generative AI model formats today. This growth is especially evident in AI video content marketing, which makes use of avatars, audio synthesis, and other generative AI features to create compelling marketing content at scale. By leveraging large language models and platforms like Azure Open AI, for example, organisations can transform outdated code into modern, customised frameworks that support advanced features. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. The Chinese Zhejiang University has developed many GenAI patent families in software/other applications, document management and publishing, transportation and security. Among the top research organizations, the Chinese Academy of Sciences (CAS) stands out.

Generative AI solutions use advanced large language models to generate new and original content. NTT DATA offers a range of GenAI services to help businesses leverage the power of AI to drive innovation and growth. From developing custom AI models to integrating world-class models into existing business processes, NTT DATA is helping organizations unlock the full potential of GenAI. Already, marketing teams use it to create ads, email campaigns, and social media posts, and development teams use it in new product development to write software code. Other functions seeing early impact include customer service, where it is used to answer customer questions and resolve complaints; and operations, where it automates tasks and optimizes supply chains. Enterprises are overwhelmingly focused on building applications in house, citing the lack of battle-tested, category-killing enterprise AI applications as one of the drivers.

Factory Unleashes the Droids on Software

Perhaps AI investing, at least when it comes to LLM companies, is going to require mega-sized VC funds – at the time of writing, Saudi Arabia seems to be about to launch a $40B AI fund in collaboration with US VC firms. There are certainly others (marketing, automated SDRs etc) but there’s a lot to figure out (co-pilot mode vs full automation etc). With nearly every vendor calling a foundation model and saying it’s AI, there’s a danger of oversaturation and misleading marketing. This echoes past instances of AI-washing, where everyone who already got burned out on that language in the last generation will once again have to distinguish true innovation from buzzwords. Consequently, CISOs are understandably hesitant to place their trust in solutions that lack concrete evidence of value.

Generative AI tools can be used for simulated attacks and environments, threat intelligence, and synthetic data digital twins of sensitive data. Tech professionals and recreational users alike are becoming familiar with content generation models like ChatGPT, which first emerged in 2022. But this example of generative AI only skims the surface of what generative AI can do and where it’s heading.

• Here’s an overview and a look at what we can expect from one of China’s leading technology companies in the near future.
• C3 Generative AI explains why the AI demand forecast dropped significantly to supply chain teams through interactive chat.
• In visual arts, generative algorithms such as Generative Adversarial Networks (GANs) have been harnessed to produce captivating imagery, ranging from photorealistic landscapes to abstract compositions, often surpassing human imagination.
• However, we continue to believe that there is an essential symbiotic relationship between those areas.
• ChatGPT, used by hundreds of millions of people across the globe, stands as a prominent example of generative AI.
• But some of us don’t fear that AI will replace the human element; at HCG, we think it can empower it.

With ChatGPT, suddenly, you had the experience of interacting with something that felt like an all-encompassing intelligence. We are all routinely exposed to AI prowess in our everyday lives through voice assistants, auto-categorization of photos, using our faces to unlock our cell phones, or receiving calls from our banks after an AI system detected possible financial fraud. But, beyond the fact that most people don’t realize that AI powers all of those capabilities and more, arguably, those feel like one-trick ponies. ChatGPT immediately took over every business meeting, conversation, dinner, and, most of all, every bit of social media. Screenshots of smart, amusing and occasionally wrong replies by ChatGPT became ubiquitous on Twitter.

A New Cohort of Agentic Applications

Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders,2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI. We were shocked by how significantly the resourcing and attitudes toward genAI had changed over the last 6 months. The global generative AI sector has experienced 5X growth in the number of startups from H1 CY2023 to H1 CY2024, with significant investments, particularly in growth and late-stage funding rounds. Countries across the world are accelerating GenAI adoption and innovation efforts.

Generative AI Landscape: Today’s Trends and Beyond – eWeek

Generative AI Landscape: Today’s Trends and Beyond.

Posted: Wed, 06 Mar 2024 08:00:00 GMT [source]

There are allegations of exploitation of Kenyan workers involved in the data labeling process. Microsoft/GitHub is getting sued for IP violation when training Copilot, accused of killing open source communities. Midjourney might be next (Meta is partnering with Shutterstock to avoid this issue). When an A.I.-generated work, “Théâtre d’Opéra Spatial,” took first place in the digital category at the Colorado State Fair, artists around the world were up in arms.

But, in a highly publicized incident earlier this year, scammers successfully impersonated a company’s CFO and other staff members on a video call using deepfakes, leading a finance worker to send $25 million to fraudulent accounts. Historically, models have been limited by telltale signs of inauthenticity, like robotic-sounding voices or lagging, glitchy video. While today’s versions aren’t perfect, they’re significantly better, especially if an anxious or time-pressured victim isn’t looking or listening too closely. In a recent public warning, the FBI described several ways cybercriminals are using generative AI for phishing scams and financial fraud. For example, an attacker targeting victims via a deceptive social media profile might write convincing bio text and direct messages with an LLM, while using AI-generated fake photos to lend credibility to the false identity.

Thus, overcoming this restraint involves ongoing research into model optimization, efficient parallelization techniques, and cloud-based AI services that can make generative AI more accessible to a broader audience. Reflecting these trends, several strategic movements within the industry highlight the dynamic nature of the market. General Services Administration launched its Generative AI and Specialized Computing Infrastructure Acquisition Resource Guide. This guide, which is regularly updated to reflect technological advancements, aims to assist the federal acquisition community in procuring generative AI solutions and related specialized computing infrastructure.

Implementation alone accounted for one of the biggest areas of AI spend in 2023 and was, in some cases, the largest. One executive mentioned that “LLMs are probably a quarter of the cost of building use cases,” with development costs accounting for the majority of the budget. In order to help enterprises get up and running on their models, foundation model providers offered and are still providing professional services, typically related to custom model development. We estimate that this made up a sizable portion of revenue for these companies in 2023 and, in addition to performance, is one of the key reasons enterprises selected certain model providers. Because it’s so difficult to get the right genAI talent in the enterprise, startups who offer tooling to make it easier to bring genAI development in house will likely see faster adoption.

I’ll also take a look at why the situation for developers of AI platforms is different in China than it is in the West. Baidu has put generative AI to work in a number of other areas designed to improve user experience and generate new business. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. A 2024 study found that three-quarters of product features are rarely used, underscoring the need for precision. While traditional AI continues to serve as the predictive and optimization engine of supply chains, generative AI is reshaping how we interact with and analyze data. Traditional AI and generative AI provide different solutions within the supply chain sector.

AI would kill creative jobs last because creativity is the most quintessentially human trait. Another particularly fertile area for generative AI has been the creation of code. In October 2022, CSM (Common Sense Machines) released CommonSim-1, a model to create 3D worlds. In September 2022, OpenAI released Whisper, an automatic speech recognition (ASR) system that enables transcription in multiple languages as well as translation from those languages into English. Also in September 2022, MetaAI released Make-A-Video, an AI system that generates videos from text.

On the basis of type, the market is segmented into text-to-image generation, image-to-image generation, music generation, video generation and 3D modeling and animation. On the basis of application, the market is segmented into gaming, film and television, advertising and marketing, music and sound production and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and MEA.

FireTV’s generative AI capabilities are squarely in the entertainment category and Alexa relies on a balance of both. You might ask it for a recipe and cooking instructions or to start your favorite playlist. Consider exploring NVIDIA Broadcast, another AI-powered content creation app that transforms any room into a home studio. The generator attempts to create realistic, lifelike imagery, while the discriminator tries to tell the difference between what’s real and what’s generated. As its neural networks keep challenging each other, GANs get better and better at making realistic-looking samples.

Purpose Built Smaller Foundational Models Commonplace

One industry that has resisted the change but is bound to be significantly transformed is entertainment. Whether lean-back experiences such as music, movies, and television or lean-forward experiences like games, LLMs, and related technologies will enable a shift in the way we think about and consume leisure activities. Broadcom also distinguishes itself from peers by blending semiconductor solutions with software capabilities. Following its VMware merger, Broadcom can seamlessly integrate server storage and networking hardware with a comprehensive infrastructure suite for on-premises and cloud deployments. Substantial software revenue, thanks to VMware, can support margin and free-cash-flow growth, potentially providing investors with a stable, profitable semiconductor investment amidst sector and macro uncertainties.

When we launched the AI 50 almost five years ago, I wrote, “Although artificial general intelligence (AGI)… gets a lot of attention in film, that field is a long way off.” Today, that sci-fi future feels much closer. This year’s AI 50 list shows the dominance of this transformative type of artificial intelligence, which could reshape work as we know it. Our goal with AI is not just to do things better – it’s to do things that were not possible before. Go beyond the hype with expert news on AI, quantum computing, cloud, security and much more.

Revitalizing digital transformation: Harnessing generative AI to improve modern software development.

Predictive AI, on the other hand, uses input data to identify patterns and make forecasts, playing a crucial role in decision-making processes across industries. Understanding these key distinctions is essential for leveraging the respective strengths of each technology. Generative AI excels in creativity and innovation, enabling the generation of unique content, designs, and ideas that can inspire new products and services.

However, Asia-Pacific is expected to exhibit the highest growth during the forecast period. This is attributed to the expansion of advanced technologies such as communication systems, cloud computing, and others, which further contribute to the growth of global market. When most laypeople hear the term generative AI, they think of tools like ChatGPT and Claude powered by LLMs.

The messy real world requires significant domain and application-specific reasoning that cannot efficiently be encoded in a general model. One hypothesis at the outset of the Generative AI market was that a single model company would become so powerful and all-encompassing that it would subsume all other applications. This shift will move us from a world of massive pre-training clusters toward inference clouds—environments that can scale compute dynamically based on the complexity of the task. This is where System 2 thinking comes in, and it’s the focus of the latest wave of AI research. When a model “stops to think,” it isn’t just generating learned patterns or spitting out predictions based on past data. It’s generating a range of possibilities, considering potential outcomes and making a decision based on reasoning.

Achieving artificial general intelligence, that futuristic self-learning system that some fear could threaten humanity, is still a moving target. But there can be no doubt that the progress of large language models over the past year has been transformative—and their applications increasingly general. We’re seeing new use cases every day that demonstrate how AI will change the way we work, create and play. ELB Learning’s Blackmon predicted a rise in personalized generative applications tailored to individual users’ preferences and behavior patterns. For example, a personalized generative music application might create music based on a user’s listening history and mood.

“When you start to get into high-risk applications — things that have the potential to harm or help individuals — the standards have to be way higher,” he said. Although many businesses have explored generative AI through proofs of concept, fewer have fully integrated it into their operations. In a September 2024 research report, Informa TechTarget’s Enterprise Strategy Group found that, although over 90% of organizations had increased their generative AI use over the previous year, only 8% considered their initiatives mature.

Global X Management Company LLC disclaims responsibility for information, services or products found on the websites linked hereto. NVIDIA’s GauGAN, named after post-Impressionist painter Paul Gauguin, is an AI demo for photorealistic image generation. Built by NVIDIA Research, it directly led to the development of the NVIDIA Canvas app — and can be experienced for free through the NVIDIA AI Playground.

We will see the advent of agents going beyond supporting individual needs like writing my email, solving a customer support issue or ordering my groceries to an ecosystem where agents will start to interact with other agents. This paradigm shift revolves closely with the concept of data products, where enterprises will have the opportunity to monetize their agents in the same way they did with their models and datasets. With the reliance on vector databases for generative AI, we will see all the key data platform players to bring to market their flavour for solving this solution. Although vector databases are not a new concept, they are not traditionally part of the “modern data stack” and have been in the past used for search engines and other types of machine learning. For large enterprises it’s a paradigm shift in how they approach problem-solving and innovation, as they move from experimenting to adopting with generative AI. This technological course correction is akin to the transformative wave brought about by the early adoption of cloud technologies, suggesting a similar, if not greater, impact on the tech ecosystem.

Mazdas New Combustion Engine Is Great News For Next-Gen Miata & CX-50

One-third of banks redirecting CX budgets towards Gen AI and ML

According to Kohli, the future of customer contact handling will fixate on intent-level customer journey orchestration. As a result, the agent knows the customer’s query from the start of the conversation and has critical information at hand to solve it. Yet, a decade after the first CCaaS solutions went mainstream, not much has changed within the service experience. From an exterior-styling perspective, the big changes look more like a mid-cycle refresh.

Below, these industry experts discuss the latest CDP features, key industry trends, and more. Standards are developing all the time, throughout countless countries and territories. Of course, it’s unlikely we’ll see a universal agreement among governments and regulatory bodies any time soon. In case you were wondering, EVs are the automotive future and these five incoming battery-powered SUVs are set to revolutionize the space. In 2027, Mazda will introduce a new electric vehicle based on a dedicated platform. The automaker is also studying plug-in hybrid variants based on the architecture and suggested these would be relatively cheap to develop.

QO Carbon Cranks Launch New Road, Gravel & MTB Components from Founders of Rotor

These innovative capabilities streamline the shopping journey, providing customers with tailored insights and recommendations to help them make informed purchasing decisions. Now, as part of its commitment to leveraging cutting-edge technology to enhance the customer experience, Walmart is rolling out digital shelf labels (DSLs) across its stores. This innovative solution, developed by Vusion Group, represents a significant shift in how Walmart manages pricing, inventory, order fulfilment and customer interactions.

Currently, Mazda offers a rotary engine in the MX-30, where the engine acts as a generator to extend the range of the electric crossover. A similar setup may eventually make its way into a sports car, something Mazda previewed last year with its Iconic SP concept. Finally, it also handles “ambiguous requests” via integration with organizational knowledge sources, offers improved information gathering, and generates summaries across all automated conversations. Combine such features with the vendor’s existing Agent Assist portfolio – which includes tools to spotlight data insights and knowledge articles in real-time – and Genesys brings a comprehensive Agent Copilot to market. Local Measure’s AI-powered tools in Engage, such as Smart Notes and Smart Tasks, offer an intuitive way to streamline daily workflows in the contact center, minimizing operational costs, and improving customer service results.

Real-Time Batch & Real-Time Data Unification

At the moment, cost doesn’t seem to be a big consideration for the brands speccing eMTB powertrains; it’s better to pay more for a reliable and performant end-to-end system. While CCaaS vendors get all the buzz, it’s important to recognize that Mitel has been a contact center player for decades, and has shipped more than 1.8 million agent seats, with 25,000 contact center customers globally. The company seemed to have fallen behind as it focused on the unified communications side of the business, but has reinvigorated its contact center offerings and is fully committed. Mitel CX is now Mitel’s go-forward CX platform, eventually bringing together MiCC Business, MiCC Enterprise, and OpenScape Contact Center.

The European Parliament also introduced the EU AI Act in 2024, described as its first regulation on artificial intelligence. Regulations are needed to establish a framework and rules of engagement that are understood by all parties. However, in lieu of clear regulation, we are already seeing legal challenges from end users, with courts now tasked with ruling on whether current practices breach existing laws.

Towing is not one of the CX-5’s strong points, with a maximum capacity of 2,000 pounds for both the naturally aspirated and the turbocharged versions. Although, in this respect, the CX-5 fares better than the Honda CR-V, which can only handle 1,500 lbs, it does not quite reach the heights of the Toyota RAV-4, which can tow up to 3,500 lbs. Social media is a great place for car owners to express their opinions on their car’s pros and cons, and the CX-5 is no exception. The model has a dedicated community on Reddit, where owners and enthusiasts have gathered to exchange ideas on what they would like to see in the 2025 model.

There are many solutions for translating customer chats and messages in real time. Instead of tagging emotions as positive, negative, or neutral, GenAI-powered sentiment solutions – such as Mood Insights by Talkdesk – capture more specific feelings like frustration, gratitude, and relief. For instance, NICE uses such tools to detect customer sentiment in real time.

Also, its customer data cloud enables companies to access their entire data ecosystem and previously untapped customer insights. To do so, businesses are leveraging customer data platforms (CDPs), centralizing data collection, and consolidating individual customer profiles. While generative AI might seem to be everywhere these days, it’s still a relatively new and complex concept that industry leaders are struggling to deploy and govern.

There is currently no official date for this event, but it’s likely to take place in November at the ExCel, London. However, Mike Massimino, Former NASA Astronaut, NY Times Bestselling Author, and Columbia University Professor, will give a luminary keynote to add something a bit different. Meanwhile, leading CX tech vendors will also be on hand to drive the agenda forward. As the name suggests, the event spans several days, with some dedicated to technology and innovation, the CC Women Summit, and the Customer Contact Leadership Institute. While many similar events lead with technology, the ICMI sheds light on other critical elements of contact center performance. Here is our roundup of the must-attend industry conferences, expos, and awards shows for this year, both live and virtual.

CX-5 2.5 Carbon Turbo

He studied civil aviation, aeronautics, and accountancy in his younger years and is still very much smitten to his former Lancer GSR and Galant SS. The 2025 Mazda CX-5 leaves the factory with a three-year/36,000-mile bumper-to-bumper warranty and a five-year/60,000-mile powertrain warranty. Also included is a five-year (unlimited mileage) corrosion warranty and three years/36,000 miles of complimentary roadside assistance. This compensation can influence the placement, visibility, and order of products in this article but does not affect the editorial team’s independent recommendations.

• Mitel customers can keep their Mitel UC platform, whether on-prem, private cloud, or hybrid, and add Mitel CX capabilities simply by purchasing CX user profiles.
• Yet, a decade after the first CCaaS solutions went mainstream, not much has changed within the service experience.
• Building on this success, Walmart is now focused on enhancing the customer journey by bringing the drone delivery ordering experience directly into its mobile app.
• Offering intuitive, intelligent support for everything from outreach automation to self-service, and employee assistance, Gen AI tools are becoming a must-have in the modern CX landscape.
• Quite the opposite as Mazda has revealed an assortment of details about the next-generation model.
• In doing so, he revealed that Genesys has 5,900 customers on its Cloud CX Platform, with 850 new customers since the start of 2023.

Our partnership gives Alorica the power of our Intelligent Automation platform to reimagine the future of customer service and contact center experiences. The two companies have also launched a “taskforce for joint go-to-market efforts”, as they look to capitalize on the potential of their combined skillsetsby delivering tailored automation solutions and GenAI-powered service offerings. As I noted in a previous No Jitter article, integrating UC and CC helps ensure that the right tools are available to various workers and groups in the organization to provide improved customer and employee experiences.

Mazda working on Skyactiv-Z gas engine alongside new hybrids and EVs

Furthermore, they can prepare contact centers for the future of contact handling – where they tactfully leverage conversational and other forms of AI alongside various channels and modalities. Still, customers must repeat themselves, queue for long periods, and – perhaps most frustratingly – get caught up in the IVR. Compared to the current iteration of the SUV, the new one boasts larger windows in C-pillars, wide fender flares, a new radiator grille, and redesigned headlights. The overall dimensions also appear a bit off, which is all but expected since the new CX-5 switches to a different RWD platform. Alvin Reyes is an Automoblog feature columnist and an expert in sports and performance cars.

It isn’t clear what powertrains the new generation will offer, apart from a hybrid option being available. The standard non-turbo churns out 187 horsepower, and the optional turbo version boosts power up to 256 ponies. The 2025 CX-5 lineup is already on sale, so we expect the refresh to arrive for the 2026 model year.

How Wendy’s is redefining CX using gen AI CX Network – CXNetwork

How Wendy’s is redefining CX using gen AI CX Network.

Posted: Fri, 17 Jan 2025 17:06:59 GMT [source]

Using predictive analytics, companies can prioritize efforts to optimize marketing strategies and better anticipate customer needs; this can improve retention and loyalty while driving long-term growth. A financial institution might use GenAI to analyze transactional data and predict customer spending patterns, enabling it to offer targeted promotions and personalized recommendations. Armed with insights from modern topic modeling, where the data has emerged organically from customer interactions, the CX experience can be significantly improved in a variety of ways. It starts with adjustments to IVRs and routing (faster and cheaper than printing new maps).

Enterprise Connect is the self-proclaimed #1 Communications and CX Event, offering tracks for industry pros wishing to delve deeper into specific subsets of customer experience. For 2025, the CCW event will explore various customer experience topics via presentations, demos, and guided tours that feature several of Europe’s biggest brands. At the recently held E3 CX Conference in Riyadh, an event showcasing the latest advancements in customer experience, Rami Haffar shared insights on how generative AI is transforming the CX landscape. Comprised of hundreds of partners, Avaya’s ecosystem supports a strategy to help organizations innovate without disruption.