Рубрика: AI

BharatGPT is back with its dedication to building language models for India, in India. In a recent conference, the Department of Science & Technology (DST) announced that it is starting a new hub for creating Indic language models in collaboration with BharatGPT.

This new hub, BharatGPT, is created in collaboration with IIT Bombay, IIT Madras, IIT Hyderabad, and IIT Mandi. The initiative aims to create LLMs in India languages, for India, along with applications for Indian enterprises.

Moreover, the recent Indian chatbot Hanooman, released by SML is also powered by IIT Bombay and BharatGPT projects. The project includes multilingual and multimodal capabilities.

In an interview with AIM, Professor Ganesh Ramakrishan from IIT Bombay, who is leading the BharatGPT initiative said that India needs to build foundational models from scratch. “An ecosystem for building multi-lingual and multi-modal foundational models is what will open up a faithful avenue for Indian languages. You will hear about it soon,” Ramakrishnan said about the rise of several Indic LLMs.

“The intention is that everyone gets to use them in India and there is widespread adoption by the Indian startups, not just providing models, but also giving recipes on how to build AI models.”

Ramakrishnan also emphasised that the solutions need to be developed across different verticals as well such as banking, healthcare, farming, etc. “Mistral got France on the AI map. We want India to get on the AI map with BharatGPT.”

SML’s Hanooman is named after the Hindu deity Hanuman. “Hanuman is a great example of responsible power. Despite being the most-powerful entity, he never used his power for selfish needs,” said Vishnu Vardhan, founder of SML and Vizzhy, in an exclusive interview with AIM.

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OpenAI has announced that Jakub Pachocki will take over as the company’s new chief scientist, succeeding Ilya Sutskever. The move comes as Sutskever departs the company to pursue his personal endeavor. As chief scientist, Pachocki will lead the company’s research efforts, focusing on scaling deep learning systems and driving progress in AI research.

“Ilya introduced me to the world of deep learning research, and has been a mentor to me, and a great collaborator for many years,” said Pachocki in a heartfelt message posted on X.

He said that his incredible vision for what deep learning could become was foundational to what OpenAI, and the field of AI, is today. “I am deeply grateful to him for our countless conversations, from high-level discussions about the future of AI progress to deeply technical whiteboarding sessions. Ilya – I will miss working with you,” said Pachocki.

Ilya introduced me to the world of deep learning research, and has been a mentor to me, and a great collaborator for many years. His incredible vision for what deep learning could become was foundational to what OpenAI, and the field of AI, is today. I am deeply grateful to him… https://t.co/nsbMIOZHpS

— Jakub Pachocki (@merettm) May 14, 2024

Pachocki joined OpenAI in 2017, where he has held several key positions. He started as a Research Lead for the Dota team, then led the Reasoning Team, and later the Science of Deep Learning team.

He also previously served as Director of Research, spearheading the development of GPT-4 and OpenAI Five and conducting fundamental research in large-scale RL and deep learning optimisation.

“Jakub is also easily one of the greatest minds of our generation,” said OpenAI chief Sam Altman. “I am thrilled he is taking the baton here. He has run many of our most important projects, and I am very confident he will lead us to make rapid and safe progress towards our mission of ensuring that AGI benefits everyone.”

Pachocki’s impressive academic background includes a Bachelor’s degree in Computer Science from the University of Warsaw and a PhD in Computer Science from Carnegie Mellon University. His research focus has been on efficient algorithms, particularly for machine learning applications.

“I’m honored to take on this new role and continue to work towards our mission of ensuring that AGI benefits everyone,” said Pachocki in a statement. “I’m excited to build on the foundation laid by Ilya and the entire OpenAI team, and I’m committed to driving progress in AI research and development.”

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In a country with nearly 60% of the 1.4 billion population residing in rural areas, data centers are fast emerging as a solution to address the challenges of patchy connectivity and limited digital access.

India is rapidly moving towards hyperscale data centres, which are centralised in various cities and metropolitan areas.

However, edge data centres are expected to gain prominence in Tier 2 and 3 cities to serve the consumers in these areas directly, reducing their need to connect to a main data centre every time.

Nestled in the Tier 2 city of Nashik, ESDS aims to serve everyone, regardless of their physical location within the country, as long as they have a smartphone in their hand. In a recent conversation with AIM, Piyush Somani, the founder of ESDS, shared his insights on the rapidly evolving data centre industry in India.

With a keen eye on the industry and its future, Somani believes that the next wave of data centre growth will be driven by the untapped potential of Indian villages.

While many players have been ramping up content delivery networks (CDNs), Somani sees an unrealised potential in smaller data centres for these regions to reap the multifold increase in demand.

Somani’s journey with ESDS began as a bootstrap project in Nashik in 2005, where he started with a single computer in the backyard of a kindergarten. “We have heard about garage startups, but we were a kindergarten startup,” Somani quipped.

From these humble beginnings, ESDS has grown to become one of India’s leading cloud and data centre service providers, with four data centres across the country.

When asked about the choice of Nashik for ESDS’s largest data centre, Somani explained, “Cost was one factor, second was the people. I did not want to lose my people by taking something to Mumbai.”

This decision proved to be the right one, as ESDS has managed to retain a majority of its early hires, ensuring stability and growth.

In a highly competitive market, ESDS has carved out a niche for itself by creating and addressing specific market segments.

The company focuses on providing end-to-end solutions for cooperative banks, government organisations, and enterprises. It also offers tailored services such as SAP HANA, hosts on cloud platforms, and provides low-code no-code solutions.

Embracing AI and GPU Computing

Somani envisions ESDS becoming the first Indian hyperscaler among foreign players in the next couple of years. The company’s strategy involves launching smaller data centres of 5-10 megawatts while generating premium returns through managed co-locations, cloud services, and cybersecurity offerings.

While competitors like Yotta are partnering with NVIDIA and acquiring GPUs with government support, ESDS is taking a different approach to maximise profitability and valuations. “We are already there in the AI market, but not in the form of a hardcore AI compute service provider,” Somani explained.

Instead, ESDS is creating niche offerings, such as quantum-safe encryption and low-code no-code solutions for digital universities, to address specific market needs and generate higher returns – upwards of up to 30% increase this year.

The company is also making strides in the AI and GPU computing space by creating a GPU community cloud, which is being utilised by central government and defence departments for research purposes.

“Certain government departments, including those involved in defence research, are utilising our GPU community cloud services. However, due to the sensitive nature of their work, we are unable to disclose their specific names,” Somani stated.

The company also provides GPU compute power for quantum-safe encryption, which requires a massive amount of processing capabilities.

Somani revealed that ESDS plans to invest massively in the GPU compute technology over the next 2-3 years.

“In the next couple of years, we would have invested hundreds of crores of rupees on GPU compute technology because the demand from our customers is humongous,” Somani explained.

However, rather than simply providing GPU compute as a service, ESDS aims to offer value-added SaaS offerings, such as quantum-safe encryption, to maximise profitability.

“We are trying not just to provide GPU compute as a service but also certain SaaS offerings. We are coming up with niche offerings like quantum-safe encryption on the GPU platform,” Somani explained.

With the expansion, ESDS expects to generate revenues 5-10 times higher than its competitors.

While the competition focus remains on providing pure infrastructure as a service on their GPU machines, ESDS will be delivering Platform-as-a-Service (PaaS) offerings, which command higher margins and profitability.

The Future: Data Center in Villages

The most intriguing aspect of Somani’s vision for the future of data centres in India is his belief that they could move to villages. By tapping into the vast potential of rural areas, ESDS aims to create solutions that address the unique challenges faced by sectors such as agriculture.

With climate change disrupting traditional farming practices, ESDS aims to transform the lives of the 700 million people in India who depend on agriculture.

“Agritech – India has such a serious problem centred around agriculture,how are you going to address the agriculture market using AI and sensor technology,” Somani posed.

ESDS has developed its own Agritech solution, Farmrut, to help farmers navigate the challenges of climate change and optimise their yields. I will also help them with seed selection, soil testing and nutrition management.

The Booming Data Centre Industry

India’s data centre industry is experiencing unprecedented growth, with a target of reaching 1 gigawatt of capacity by 2024. Somani sees this as a tremendous opportunity.

“There is actual demand. The reason so many hyperscalers are coming to India is that many foreign companies that are purely into data centre services are coming to India. The investors are also coming to India,” he said.

Somani believes that India is no longer the country it was a decade ago. “India is an ocean of opportunities,” he remarked, highlighting the optimism and demand that is driving the supply of data centres in the country.

In just seven years, India’s data centre capacity has grown from 100 megawatts to about 1 gigawatt, and Somani predicts that by 2031-2032, the country would have crossed the 10-gigawatt mark.

As India continues to embrace digital transformation, the demand for data centres and cloud services is only set to grow. And companies like ESDS are well-positioned to lead the charge in shaping the future of the industry, one that extends beyond the confines of cities and into the heart of India’s villages.

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Abu Dhabi-based The Technology Innovation Institute (TII) has launched Falcon 2, a series of AI models that includes Falcon 2 11B and Falcon 2 11B VLM. These models surpass existing benchmarks.

Falcon 2 11B is a text-based model, while Falcon 2 11B VLM is a vision-to-language model that can convert visual inputs into textual outputs. Both models are multilingual and open-source, providing developers worldwide with unrestricted access.

Falcon 2 11B has been verified to outperform Meta’s Llama 3, which has 8 billion parameters, and performs on par with Google’s Gemma 7B model, according to evaluations by Hugging Face Leaderboard.

These models are designed to run efficiently on a single GPU, making them scalable and easy to integrate into various infrastructures, from high-end servers to personal laptops.

In a move to further enhance Falcon 2’s capabilities, TII plans to incorporate ‘Mixture of Experts’ (MoE). This advanced machine learning technique involves combining specialised smaller networks to improve performance by delivering more accurate and faster decision-making.

The models are released under the TII Falcon License 2.0, a permissive Apache 2.0-based software license promoting responsible AI use. More information is available at FalconLLM.TII.ae.

H.E. Faisal Al Bannai, secretary general of ATRC and Strategic Research and Advanced Technology Affairs Advisor to the UAE President, commented on the launch, saying, “While Falcon 2 11B has demonstrated outstanding performance, we reaffirm our commitment to the open-source movement and the Falcon Foundation.”

The first Falcon model, released in 2022, established TII’s commitment to open-source AI, focusing on large language models (LLMs). It was trained on 1 trillion tokens and featured 7 billion parameters. This model builds on this foundation, enhancing capabilities.

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Sophos recently released its annual “State of Ransomware in India 2024” report today. The findings reveal that while the rate of ransomware attacks against Indian organisations decreased from 73% in the previous year to 64% this year, the impact on victims has intensified, with higher ransom demands and recovery costs.

The report, based on a survey of 500 IT decision-makers in India, found that for the first time, Indian organisations were more likely to recover data by paying the ransom (65%) than using backups (52%). The average ransom demand was $4.8 million, with 62% of demands exceeding $1 million, and the median ransom paid was $2 million.

According to the report, 44% of impacted computers on average were encrypted in attacks against Indian victims, and 34% of attacks included data theft in addition to encryption. Excluding ransom payments, the average cost to recover from an attack was $1.35 million. The report also found that 61% of victims were able to recover data within a week, up from 59% in 2022, and 96% reported the attack to authorities, with 70% receiving investigation assistance.

Sunil Sharma, Vice President, Sales, India and SAARC, Sophos, emphasised the importance of prevention as the most cost-effective ransomware strategy, along with comprehensive backup and recovery measures and continual review of security posture and incident response plans.

The report also highlighted global findings, including that 94% of organisations hit by ransomware said that cybercriminals attempted to compromise their backups during the attack, with 57% successful attempts.

Sophos recommends implementing endpoint protection, bolstering defences with round-the-clock threat detection and response, building and maintaining an incident response plan and making regular backups to defend against ransomware and other cyberattacks.

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Supply chain track and trace solutions is a system used to cover the inflow of goods from the point of origin to the point of destination. This system has revolutionized the way businesses manage their supply chain operations. From reducing costs to perfecting client service, the benefits of supply chain track and trace are inarguable. In this composition, we will explore the advantages, challenges, and best practices for using this system to maximize its benefits.

What is a supply chain track and trace solution?

Supply chain track and trace solution is a system used to cover the movement of goods through the supply chain. It’s a combination of software, tackle, and processes that allow businesses to track and trace goods from the point of origin to the point of destination. This system gives businesses the capability to cover the movement of goods in real time, allowing them to identify and address any delays or issues quickly.

The system works by exercising differnet technologies for example, as RFID (Radio frequency Identification), GPS (Global Positioning System), and barcode scanners. These technologies are helping in allowing businesses for tracking the movement of goods from the point of origin to the point of destination. This helps businesses identify any delays or issues in the supply chain, allowing them to take corrective action quickly.

The system also collects data, which can be used to dissect the supply chain and identify areas of enhancement. This data can also be used to measure the performance of the supply chain, allowing businesses to make informed opinions and better manage their supply chain operations.

Significance of track and trace in supply chain management

For manufacturers, it provides visibility into their product and logistics operations, allowing them to optimize their processes and ameliorate effectiveness. For distributors, it allows for the tracking of products as they move from one position to another, furnishing real time data on supply situations and payload status.

For retailers, it allows for the tracking of products in their stores, enabling them to manage supply situations and respond quickly to changes in demand. Eventually, for consumers, it provides assurance that the products they’re buying are genuine, safe and of high quality.

Benefits of supply chain track and trace

The benefits of supply chain track and trace solutions are multitudinous. Let’s look at some of the crucial benefits of using the system.

Reduced costs

The capability to track and trace solutions for goods throughout the supply chain allows businesses to reduce costs. This is due to the fact that businesses are now able to identify problems in the supply chain management quickly and take corrective measures, which helps in reducing the time and money spent on resolving the issue.

Bettered client service

By exercising supply chain track and trace solutions, businesses can give clients with real- time updates on their orders. This allows clients to have a better understanding of when their orders will be delivered, performing in bettered client service.

Increased effectiveness

The capability to cover the movement of goods in real- time allows businesses to identify and address any delays in the supply chain quickly. This helps to insure that goods are delivered on time, performing in increased effectiveness.

Increased visibility

Track and trace solutions are helping businesses to achieve better visibility into their supply chain management. This means that they can identify any implicit problems or delays quickly, allowing them to take corrective action quickly.

Bettered accuracy

By using supply chain track and trace, businesses can insure that the goods they are dispatching are accurate. This reduces the threat of errors and improves delicacy, performing in bettered client satisfaction.

Challenges of using supply chain track and trace

Although supply chain track and trace solutions offers numerous benefits, there are also some challenges associated with this system. Let’s look at some of the crucial challenges.

Cost

One of the major challenges of adopting supply chain track and trace solutions is the cost. This system requires a significant investment in hardwareand software, which can be precious for some businesses.

Complexity

Another major challenge of implementing supply chain track and trace solution is the complexity of the system. This system requires a significant quantum of training and knowledge in order to be used effectively, which can be delicate for some businesses.

Data security

The track and trace system collects sensitive data that needs to be defended. This requires businesses to invest in security measures to insure that the data isn’t compromised.

Integration

The system needs to be integrated with the being systems in order to be used effectively. This can be a challenge for some businesses, as it requires a significant quantum of time and trouble to integrate the system.

Relinquishment

One of the crucial challenges of using supply chain track and trace is getting workers to borrow the system. Some workers may find the system delicate to use or may be resistant to change.

Best practices for supply chain track and trace

Furthermore, in order to boost the advantages of supply chain track and trace solutions, there are several best exercises that businesses should follow. Following are some best practices for using this system.

Invest in technology

The first step for implementing supply chain track and trace solution is to spend on the right and relevant technology. This implies investing in the hardware and software mandatory to track and trace goods throughout the entire supply chain.

Train workers

Train workers on how to use the system. This will insure that workers can use the system effectively, performing in maximum benefits.

Boost security

Adopt security measures to insure that the data collected by the system is secure. This will help to cover the data and insure that the system is used effectively.

Examine performance

Cover the performance of the system regularly. This will allow businesses to identify areas of enhancement and take corrective action quickly.

Communicate with clients

Maintain regular communication with clients. This will help in allowing them to have a better understanding of when their orders will be executed, hence, delivered.

The future of supply chain track and trace

Supply chain track and trace is a must have capability for businesses nowadays, given the prevailing query. In the future, businesses will be suitable to work the data collected by the system to gain farther perceptivity into their supply chain operations. This will allow them to quickly identify implicit issues and take corrective action, performing in bettered effectiveness and cost savings.

Supply chain track and trace solutions may also be used with artificial intelligence and machine learning. These technologies will allow businesses to automate certain processes and dissect data quickly. Eventually, the future of supply chain track and trace also includes the use of blockchain technology. This technology will allow businesses to store and transfer data securely, performing in advanced security and data accuracy.

Adobe announced today that Adobe Experience Platform-based applications will be available for enterprise customers via an India datacentre later in the year. This move aims to deliver on local data residency requirements and improve performance through lower latency.

The data centre will enable Indian enterprises to access Adobe Experience Platform-based applications, including Adobe Real-Time Customer Data Platform, Adobe Journey Optimiser, and Adobe Customer Journey Analytics. These applications will empower businesses to deliver real-time personalised customer experiences at scale.

Prativa Mohapatra, VP & MD, Adobe India, emphasised the importance of this development, stating, “Generative AI is driving a foundational shift in the relationship between brands and their customers in India, marking this as the era for businesses to drive profitable growth while delivering new digital experiences. Delivering personalised customer experiences, or Customer Experience Management, is central to the goals of enterprises.”

Mohapatra further added, “With that, we’ve seen increasing demand for Adobe Experience Platform-based applications from customers across banking financial services and insurance, telecom, manufacturing, and retail. We are excited to meet their hyper-growth requirements with the availability of Adobe Experience Platform-based applications, hosted via an India based datacentre.”

Adobe’s product innovations assist brands with data management in the age of generative AI, creating a foundation to activate insights and deliver true personalisation at scale. This is anchored in Adobe Experience Platform, the industry’s leading Customer Experience Management solution, which enables brands to activate customer data across various enterprise systems through an integrated set of applications.

It serves as the foundation for Adobe Experience Cloud, a suite of integrated online marketing tools offering personalisation at scale, streamlined content creation, data insights, content management, and customer journey products.

Since establishing operations in 1997, Adobe India has become a key contributor to Adobe’s Intellectual Property creation and business growth.

The country accounts for one-third of the company’s global innovations, including patents, engineering, and product development teams. India is also among Adobe’s fastest-growing markets, with customers including Air India, ICICI Bank, HDFC Bank, Bajaj Allianz, Tata Motors, and MakeMyTrip.

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Google took a sly dig at OpenAI, making it quite evident that it is making AI helpful for everyone, not just for him or her. At Google I/O, it announced a slew of announcements, including major updates to its Gemini AI models, a new multimodal AI assistant called Project Astra, an advanced image and video generation model like Imagen 3 and Veo, and AI-powered features across its products and more.

This was one of Google’s longest announcements—it was extended by an hour and mentioned AI ‘120 times,’ as revealed by Sundar Pichai, saving a few minutes for many of us.

“We want everyone to benefit from what Gemini can do, so we’ve worked quickly to share these advances with all of you,” Pichai vividly added to his walk-out video, which mentioned that “it wasn’t all just for him, or for her. It was for everyone.”

Gemini 1.5 Flash vs GPT-4o

The star of the show was Gemini 1.5 Flash, an alternative to OpenAI GPT-4o, which was announced just yesterday.

Gemini 1.5 Flash is a new lightweight and efficient AI model optimised for high-volume, low-latency tasks. “We listened to developer feedback and created something faster and more cost-effective,” said Demis Hassabis, CEO of Google DeepMind.

Gemini 1.5 Flash offers similar power to Gemini 1.5 Pro while being up to 10 times faster. Both models feature an impressive 1 million token context window, the longest among large-scale foundation models.

“Gemini 1.5 Flash is designed for quick tasks where speed and efficiency matter most, while 1.5 Pro excels at complex tasks needing the highest quality responses,” explained Josh Woodward, senior director of product management at Google Labs.

Developers have been using the expanded context window in innovative ways, from building searchable video databases to analysing lengthy research papers.

Interestingly, many developers were quick to point out that the Gemini 1.5 Flash is 7% the cost of GPT-4o (1/10th the cost of Pro).

Google $GOOGL just announced the pricing of its newest Generative AI models
Here's how the pricing compares to OpenAI's newest GPT-4o model announced yesterday via The Vergepic.twitter.com/4sQc0Pompm
Gemini Flash – $0.35 for 1 Million tokens
Gemini 1.5 Pro – $3.50 per 1M tokens…

— Evan (@StockMKTNewz) May 14, 2024

Project Astra, Google’s Quick Response to OpenAI’s GPT-4o

Google also gave a sneak peek at Project Astra, its ambitious initiative to build a “universal AI agent for everyday life”. Astra is a real-time, multimodal AI assistant that can understand the world through a phone’s camera or smart glasses.

In a demo, Astra identified objects, analysed code, and even located misplaced smart glasses *wink wink* —is Google also coming after Meta’s AI glasses?

“Imagine agents that can see and hear what we do, better understand the context we’re in, and respond quickly in conversation,” said Hassabis.

“Sir Demis Hassabis just showed a super low latency demo of Google’s multimodal AI assistant on your phone AND augmented reality glasses,” read a comment from an user speculating Google has been cooking this for a while now.

Project Astra leverages Gemini’s multimodal capabilities to process video frames continuously, combine video and speech into an event timeline, and cache it for quick recall. The agents also feature enhanced intonation for more natural-sounding responses. “It’s amazing to see how far AI has come, especially in spatial understanding, video processing, and memory,” noted Vinyals. Some of these agent capabilities will roll out to the Gemini app later this year.

Launches OpenAI Sora Alternative, Calls it Veo

Google also introduced Veo, a new text-to-video model that aims to compete with OpenAI’s Sora.

Veo builds upon techniques from prior video models to improve consistency, quality, and resolution to ptovide high-quality 1080p videos that exceed one minute in length, showcasing impeccable quality.

While some were impressed with Veo’s capabilities, others argue that it may not be state-of-the-art in terms of latency or ability compared to SORA.

Besides its obsession with cat playing Guitar, Google also unveiled Imagen 3, its most advanced text-to-image model yet. Imagen 3 generates stunningly photorealistic images with incredible detail and lighting.

“It understands prompts the way people write, creates more photorealistic images and is our best model for rendering text,” Google tweeted. The model excels at versatility, prompt understanding, and image quality thanks to richer training data captions.

Imagen 3 is available now in private preview through ImageFX and coming soon to Vertex AI.

Insane Compute With Trillium TPUs

To support these AI advancements, Google unveiled its 6th generation Tensor Processing Units called Trillium, delivering a 4.7x performance boost. Trillium will be available to Google Cloud customers in late 2024, alongside custom ARM-based CPUs and NVIDIA GPUs.

The company also highlighted its leadership in efficient liquid cooling for data centres, with a deployed capacity approaching 1 gigawatt. For context, India’s total data centre capacity is slated to reach 1 gigawatt this year.

Combined with an extensive global fiber network, Google’s infrastructure investments aim to advance AI innovation and deliver state-of-the-art capabilities.

“This progress is only possible because of our incredible developer community. You’re making it real through the experiences you build every day,” said Google CEO Sundar Pichai. With these announcements, Google aims to make AI helpful for everyone, pushing the boundaries of what’s possible with artificial intelligence.

From lightweight models like Gemini 1.5 Flash to ambitious projects like Astra, and from photorealistic image generation to multilingual inclusivity, Google I/O 2024 showcased the company’s commitment to advancing AI responsibly. By putting powerful tools in the hands of developers, enabling seamless integration into products, and investing in cutting-edge infrastructure, Google is poised to bring the benefits of AI to people worldwide.

As Pichai noted, “We see this as how we will make the most progress against our mission: organising the world’s information across every input, making it accessible via any output, and combining the world’s information with the information in your world in a way that’s truly useful for you.” The future of AI is unfolding rapidly, and Google is at the forefront, striving to make it helpful for everyone.

Gemma 2: Advancing Open-Source AI

Google announced Gemma 2, the next generation of its open-source AI models. Gemma 2 boasts a new 27B parameter model that “outperforms some models that are more than twice its size”. Optimised for NVIDIA GPUs and Google TPUs, it enables developers to customise and deploy state-of-the-art AI efficiently.

PaliGemma, Google’s first vision-language model, also debuted for image captioning and visual question-answering tasks. These models incorporate comprehensive safety measures and transparent evaluations to foster responsible AI development.

Gemma’s unique tokenisation capabilities have also enabled Navarasa—a model fine-tuned for 15 Indic languages.

“Our biggest dream is to build a model to include everyone from all corners of India,” said the Navarasa team.

Navarasa enables people to converse in their native Indian languages and receive responses in kind. This aligns with Google’s mission to organise the world’s information and make it universally accessible, and making AI helpful for everyone.

Perplexity’s Existence Hangs in Balance

Across its products, Google is integrating AI-powered features to enhance user experiences. New AI overviews in Google Search provides instant answers to complex questions by gathering relevant information.

Multi-step reasoning allows Search to break down bigger questions, find the highest quality information, and synthesise it into a helpful overview.

In a statement that seemed to take a jab at Perplexity, Liz Reid, VP of Engineering for Search at Google, confidently asserted, “Thanks to our real-time info and ranking expertise, it reasons, using the highest quality information out there.”

Transforms work like never before: Gmail is getting AI-generated summaries, contextual smart replies, and the ability to extract data from attachments into spreadsheets seamlessly.

Gemini in Google Workspace will enable users to automate workflows like expense tracking and data analysis.

Looking ahead, Google is also exploring customisable virtual teammates, aka AI teammates that can be configured for specific roles and objectives—calls it Gems.

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