Confluent Targets India as Top 10 Market

Confluent, the data streaming company founded by the creators of Apache Kafka, is focusing on India as one of the top 10 markets for its business growth. The company announced this during the first-ever Kafka Summit in Bangalore on May 2, 2024.

“India is a very critical market for us. It is a top 10 market, probably higher up,” Hemanth Vedagarbha, the global head of sales at Confluent. “It defines our APAC strategy. Core to our APAC strategy is gaining market share in India.”

Confluent’s strength in India lies in the banking, financial services, digital native, and telecom sectors. The company’s go-to-market strategy in India is driven by partnerships and direct sales.

“India’s always been an incredibly important part of our team philosophy,” said Jay Kreps, co-founder and CEO of Confluent at the summit. “We have very significant parts of our R&D operations here, including massive product areas, and almost every team is represented in India.”

With approximately 20% of its global workforce based in the country, Confluent has a large engineering team in Bangalore and a distributed engineering presence across India. The company has a sales team, support staff, and engineering headquarters in Bangalore and a distributed engineering presence across the country.

The company is investing in building its partner ecosystem in India, which includes cloud service providers like AWS, Azure, and Google Cloud Provider, system integrators, Independent Software Vendors, resellers, and Managed Service Providers. Confluent’s pricing is universal globally, but it offers flexibility based on commitment levels to cater to price-sensitive customers in India.

Confluent also announced new capabilities to simplify AI integration and stream processing during the summit. These include AI Model Inference for Apache Flink, Confluent Platform for Apache Flink, and cost-saving Freight clusters.

The company believes that the increasing digitisation in India, including government initiatives like Digital India, presents a massive opportunity for its data streaming technology.

The Kafka Summit in Bangalore is part of Confluent’s efforts to build broader awareness and drive demand in the Indian market. The company plans to expand its presence beyond tier-one cities and penetrate deeper into regional banks, non-banking financial services, healthcare, telecom, and gaming sectors.

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PyTorch Enables Llama 2 & 3 to Run on Smartphones with Zero Code

Keeping up with the focus on delivering AI models to edge devices, the PyTorch team has made it possible to run Llama 2 and 3 models on smartphones without requiring any coding announced on 1st May.

The researchers presented an optimised Triton FP8 GEMM (General Matrix-Matrix Multiply) kernel TK-GEMM that leverages SplitK parallelisation.

This enhancement boosts performance for small batch size inference, achieving up to 1.94 times faster speeds compared to the original Triton setup, 1.87 times faster than cuBLAS FP8, and 1.71 times faster than cuBLAS FP16 for Llama3-70B tasks on NVIDIA H100 GPUs.

The SplitK parallelisation means creating more work units along the k dimension, which breaks down tasks into smaller pieces and reduces delays, especially for matrices with smaller M values.

Additionally, leveraging CUDA graphs reduces CPU launch overhead, resulting in up to 6.4x speedup for a single attention layer in Llama3-70B models. These optimisations demonstrate significant performance gains and pave the way for further enhancements in FP8 inference.

With the ability to run Llama models on mobile devices, developers can now create apps that harness the power of these advanced language models without the need for extensive coding knowledge. Developers can create intelligent virtual assistants, personalised language learning apps, real-time translation tools, and much more.

The updates also come with instructions for running Llama 2 and 3 on both iOS and Android devices.

The PyTorch team has utilised the new FP8 datatype, introduced jointly by Nvidia, Arm, and Intel, which serves as a successor to 16-bit floating point types. The FP8 data type consists of two formats: E4M3 and E5M2, which provide significant throughput improvements over their predecessors for Transformer networks.

They have also identified potential future optimisation paths, such as leveraging the TMA (Tensor Memory Accelerator) hardware unit and improving Tensor Core utilisation. These optimisations could lead to even greater performance gains in the future.

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American Express Inaugurates Largest Global Office in Gurugram

Global financial giant American Express has inaugurated its largest global office in Gurugram, India, covering nearly one million square feet. This new headquarters is located in Sector 74A and will see employees moving in stages, starting by the end of this month.

The Gurugram campus is part of a strategic initiative to boost the company’s presence in India by combining global expertise with local talent. This investment aims to construct a modern, environmentally friendly office space. The facility has earned LEED Gold certification because of its sustainable architecture and construction. Environmental considerations are integral for the company, featuring energy-efficient LED lighting, smart building solutions, and electric vehicle charging stations. It also involves the use of renewable energy and effective waste management practices.

The design of the campus prioritises the health and well-being of its staff, incorporating green spaces, ergonomic workstations, and areas for relaxation such as quiet rooms and lounges. The intent is to create an environment that enhances productivity and employee satisfaction.

“The facility is a fitting reflection of our brand and the kind of workplace where our colleagues can thrive,” said Gagandeep Singh, senior vice president of global real estate and workplace experience at American Express. Sanjay Khanna, CEO and country manager for American Express in India, highlighted the campus’s role in fostering innovation and adding global value.

Additional features of the campus include a dynamic cafeteria with a live kitchen, a fitness centre, outdoor sports facilities, and terraces, all designed to promote community and collaborative engagement among employees. Access to campus amenities is streamlined through user-friendly apps, facilitating easy integration and flexibility for the workforce.

Apart from Gurgaon, American Express operates from multiple offices in India including Bengaluru, Mumbai, Chennai, Pune and New Delhi.

The company strategically leverages generative AI to improve its customer service and operational efficiency, opting for partnerships with established AI models rather than developing its own LLMs. This approach allows them to integrate such analytics and customer sentiment analysis into their services, improving predictive capabilities and personalising the customer experience.

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Building a One Person $1 Bn Company is Now Possible

Building a One Person $1B Company is Now Possible

In the recent episode of The Ben & Marc Show, which features a16z co-founders Marc Andreessen and Ben Horowitz, the question was asked, “Do you think it’s finally possible for a one person billion dollar startup?”

Andreessen said, “You could put a whole bunch of things in this bucket…it’s the inherent scalability of software and the internet but you could also put AI,” he added that you could also do it using a lot of work getting outsourced.

He added funnily a billion dollar startup of one person already exists and it is called Bitcoin. Horowitz adds his bit that it is actually a trillion dollar company. The best part is that all of this is actually somehow possible using AI and Copilot.

Andreessen said that it is possible that super geniuses in the coming 20 years would be able to crack this using just AI and Copilots. Horowitz added, “the internet is actually probably in some ways a bigger breakthrough than AI,” while also saying that we might see a few companies like these.

On the other hand, Horowitz also added that he is a little skeptical about the capabilities of AI. “The distance between what we can do now with co-pilot to complete human elimination just in terms of the technologies that we’ve seen like that last last mile is a long mile,” he said, adding that all of a company’s coders become AI is highly unlikely at the moment.

Though not a one person company, Andreessen highlighted that Instagram had billions worth of sales with only 11 people and WhatsApp had 15 plus billion sales with 50 people.

This conversation is similar to what OpenAI’s CEO Sam Altman said in an interview. “We’re going to see 10-person companies with billion-dollar valuations pretty soon…in my little group chat with my tech CEO friends there’s this betting pool for the first year there is a one-person billion-dollar company, which would’ve been unimaginable without AI. And now [it] will happen.”

Moreover, Altman also said in a recent interview that GPT-4 is the dumbest model that we would ever have to use and the upcoming models are going to be a lot smarter.

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Now Everyone’s a Musician, Thanks to Udio

Udio AI Music Generation

Text-to-music AI platforms may not be a new phenomenon; however, a platform that allows users to create full-length songs out of simple text prompts might just be the coolest thing. In comes Udio, which is here to democratise music, and make everyone an artist.

“It’s enabling for people who are just up and coming, who don’t yet have big professional careers, the resources, time or money to really invest in making a career,” said Andrew Sanchez, co-founder and COO of Udio, in an exclusive interaction with AIM.

“It’s enabling a whole new set of creators,” he said. “I think, the way we view it [AI] is we think it’s going to be a dramatic expansion of the industry, and that it’s going to enable artists who are already making music to make better music, make it faster, and really expand to what’s possible.”

Democratising Music Creation

Udio, a relatively new entrant that raised $10 million backed by some of the biggest investors, including Andreessen Horowitz, Mike Krieger and the famous music artist will.i.am, is already making waves among music enthusiasts. The platform caters to not just musicians but even newcomers who want to experiment.

“With Udio, we are targeting a tool that is simultaneously easy to use for regular consumers, but also extremely powerful in the hands of top content creators,” said David Ding, co-founder and CEO of Udio, to AIM.

While the world debates and music artists convene to ban AI, platforms creating AI-generated music are steadily advancing.

Inspired by Artists, for Artists and Others

In a recent poll conducted in the UK with 2110 people, 4 out of 5 people think the law should forbid AI training on music without the creators’ knowledge or permission, and 2/3 of them are concerned about AI music replacing human creativity.

Looking back into time, music artists have been involved in brawls with tech companies. In 2000, heavy metal rock band Metallica sued Napster, a file sharing application company, for copyright infringement. It was probably the first time the music industry felt threatened. Now, with AI in the picture, a different version of the threat may be felt.

However, Udio has been treading carefully.

“We’ve put a significant amount of time into ensuring that our system does not generate outputs, which would infringe the rights of anyone else. This is something that we’re constantly working on and improving, and it’s an area that we’re very committed to,” said Sanchez.

“We put a lot of technical resources and human resources into ensuring that we don’t have instances like that.”

Udio also allows users to report cases where they sense the content to be problematic, which would then be audited by the platform.

Tech Behind Udio

Udio is built on proprietary models but has also used existing models for other functionalities within the platform. For instance, the platform can generate automated lyrics for which GPT-4 is used.

“People have used this, as some kind of co-writer. They first get GPT-4 to output some lyrics ideas, and then they modify it to the form that they like,” said Ding.

Nigerian vocal performance but as "funk"#Udio https://t.co/fkr7tKl1Fa pic.twitter.com/fI94UCSkmz

— Allan D Clive (@allan_d_clive) April 28, 2024

“We listen to great music that’s out there, we learn to generalise across different types of music, and then we try to model and create completely novel sounds inspired by some of these ideas, in ways that completely transform the nature of the sounds,” said Ding.

Streaming platforms were also highlighted. “Not just consuming music on Spotify or other platforms, but also taking part in the creation process, is just as important as consumption of music,” said Ding.

Interestingly, Spotify is changing too.

Music Streaming Giants Embrace AI

The traditional music streaming platforms appear to be under pressure, if not under threat, to evolve, all thanks to AI. The famed streaming platform, Spotify, which underwent three rounds of layoffs, letting go of 1500 employees, has been experimenting with integrating AI on its platform.

The recently released ‘AI playlist’ which is on beta testing in a few countries, allows users to create personalised playlists using AI chat prompts.

Music Beckoned Google DeepMind Researchers

The team of founders is not just bonded through their former employer Google DeepMind, where they worked as researchers, but their common love for music also brought them together. The three other co-founders of Udio, Conor Durkan, Charlie Nash, Yaroslav Ganin, were former Google DeepMind researchers, including Ding.

“In DeepMind, we were working on cutting edge research challenges of AI, and we witnessed how AI can enable regular people to be creative in so many areas. We saw that there was a huge opportunity for people to start creating music,” said Ding. The name is inspired from ‘audio’ and ‘studio’.

Backed by music creators such as will.i.am, who recently unveiled ‘SoundDrive’, an in-car soundscape that creates music based on your driving, Udio has a roadmap where enhanced features to simplify music creators’ experience is prepared.

“Humming or specifying, like specifying BPM, chord progressions, being able to edit sounds, is all in our roadmap,” said Ding. In addition, Udio is also rolling out new features. Yesterday, it released a new feature to help create longer and more coherent tracks.

We're rolling out new features to help you create longer, more coherent tracks.
First, extensions now use a context-window of up to two minutes, increased from 30 seconds. This means verse and chorus structures are more consistent. Check out the example below! (h/t user… pic.twitter.com/Lh0BtJJmsI

— udio (@udiomusic) May 1, 2024

There has been no shortage of AI-music generation platforms since last year, however the closest competitor to Udio is Suno AI. Recently, a Punjabi-themed Bollywood song was created using Suno’s platform.

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MongoDB Partners with Cohere to Elevate Enterprise GenAI Through MAAP

The king of NoSQL MongoDB has launched the MongoDB AI Applications Program (MAAP) for enterprises to build and deploy advanced generative AI applications at scale.

Cohere, a leading enterprise AI platform, will join MongoDB under the new AI Applications Program (MAAP). It will be among the first to partner in this program, leveraging its advanced generative models, specifically the Command R series, to enhance business operations globally.

Cohere’s enterprise AI suite improved LLM applications by integrating end-to-end retrieval-augmented generation (RAG), a key component for businesses personalising AI with data. The Command R series, central to this suite, features advanced RAG techniques to prevent errors and supports tools for automating complex business processes. These models are adaptable across ten languages, catering to global operations and ensuring scalability, efficiency, and accuracy.

Additionally, the startup’s embed models enhance these capabilities, supporting enterprise search in over 100 languages, bolsters RAG applications’ robustness.

“Organisations of all sizes across industries are eager to get started with applications enriched with generative AI capabilities but many are unsure how to get started effectively,” said Alan Chhabra, EVP of Worldwide Partners at MongoDB. “The MongoDB AI Applications Program helps address this challenge, and we’re excited to have Cohere as a launch partner for the program,” he added.

Key Features of MAAP

MongoDB’s flagship product, MongoDB Atlas Vector Search, includes several generative AI application development features.

The new program is designed to assist organisations in overcoming the common challenges associated with adopting generative AI technologies. This includes navigating outdated technology and complex, costly bolt-on solutions that hinder scalability and security.

It is supported by a network of other partners, including Anthropic, Amazon Web Services, Google Cloud, and Microsoft, which ensure a wide range of expertise and resources for participating businesses.

Additionally, MAAP facilitates the development of secure and reliable AI applications by integrating trusted foundation models with robust governance controls to ensure data accuracy and safety. The program also includes personalized engagement sessions, strategic roadmapping, and hands-on support to help enterprises build, deploy, and scale their AI solutions effectively.

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Broadcom Tries to Simplify VMware Portfolio and Licensing

Broadcom announced major updates to its VMware software portfolio and partner program, aiming to enable faster innovation, increased customer value, and improved profitability for partners. The changes include transitioning to subscription licensing, portfolio simplification, and ecosystem standardisation.

The VMware portfolio has been streamlined from over 160 products to focus on two key offerings: VMware Cloud Foundation, a hybrid cloud solution for enterprises, and VMware vSphere Foundation, a workload platform for mid-sized to smaller customers. The new licensing model is subscription-based, with the end of perpetual licenses and credits.

“We are all anchored by one clear and consistent focus amidst these changes: How do we deliver on our commitment to create more value, better results, and faster innovation for our customers?” said Sylvain Cazard, President of Asia Pacific at Broadcom.

Broadcom also announced innovation updates for VMware Cloud Foundation, including a new release supporting VMware Private AI Foundation with NVIDIA, automation capabilities for data services, load balancing, and private AI, integrated network operations, and unified ransomware and disaster recovery.

The Broadcom Advantage Partner Program has been relaunched to build stronger relationships with strategic partners. VMware Cloud Service Provider (VCSP) partners will help deliver VMware Cloud Foundation as a managed private and hybrid cloud service to a broad set of customers.

Tan Hock Eng, President and CEO of Broadcom, said the company’s focus on upselling VMware’s top 2,000 customers has proven “very successful” in driving double-digit revenue gains for VMware Cloud Foundation.

The business model and portfolio simplification is part of Broadcom’s strategy to promote adoption of VMware Cloud Foundation as the leading subscription-based private cloud solution. While disruptive, the changes were deemed necessary to transform VMware’s business for faster innovation and value delivery.

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4 IoT Trends U.K. Businesses Should Watch in 2024

The realm of the Internet of Things encompasses more than just the latest products. As the network of connected devices grows — the number worldwide is expected to reach over 29 billion in 2027 — so do the policies, responsibilities and innovations that surround it, all of which contribute to successful IoT integration.

With help from Steve Statler, the chief marketing officer at IoT technology provider Wiliot, TechRepublic has identified the top four trends emerging in IoT that U.K. businesses should be aware of: the Product Security and Telecommunications Infrastructure (PSTI) Act, narrowband IoT, AI-augmented IoT and new memory technologies.

Tech decision makers need to ensure all their devices are compliant with the PSTI Act or they may not be safe from cyber threats, while narrowband IoT could make a host of new devices available to remote businesses. The continuous development of AI-augmented devices and new memory technologies could also see a range of high-performance devices becoming more affordable.

SEE: Top IIoT Security Risks

1. Compliance with the Product Security and Telecommunications Infrastructure Act 2022

By April 29, 2024, all IoT device manufacturers, importers and distributors, including refurbished products, in the U.K. will need to comply with the PSTI 2022. This means that, as a minimum:

  • Devices must be password-enabled.
  • The duration of the device’s security support is disclosed.
  • Consumers can clearly report security issues.

Statler said that “common sense provisions” like these are essential if we want to take full advantage of what IoT can bring industry in the U.K. He told TechRepublic in a call, “The opportunity is to take the biggest, most revolutionary, potent power — which is AI and the cloud — and apply it to the 99% of things that are currently in the dark, that are offline. We won’t get to do that if security is an issue.”

While the requirements of the PSTI Act may seem basic, a study conducted by the Internet of Things Security Foundation revealed that, in 2023, only 56.7% and 56.1% of vendors of popular IoT devices in the E.U. and U.K., respectively, have implemented a vulnerability disclosure policy.

The PSTI Act is indicative of how governments are starting to approach cyber security around the world. In 2019, the EU Cybersecurity Act introduced a robust cyber security certification framework for information and communication technologies products, services and processes in the region. The following year, the IoT Cybersecurity Improvement Act, which came into force in the U.S., prohibits agencies from using IoT devices that don’t comply with standards set by the National Institute of Standards and Technology.

What does this IoT trend mean for U.K. businesses?

For most businesses in the U.K., the new legislation means it will be important to ensure that all IoT products in use are compliant with the PSTI Act. However, even after that box is ticked, they must take the precautions that the now legally mandated IoT settings facilitate, added Statler.

He told TechRepublic, “The businesses that have adopted IoT need to say, ‘Okay, it’s now the law that I can update the firmware to include security patches, but am I doing it? Am I making sure that the passwords are changed, and do I have the organisational structure to act on it?’”

According to IT security company Zscaler, IoT malware attacks increased by 400% in 2023, and 34 of the 39 most-used IoT exploits have been present on devices for at least three years. Furthermore, research from Microsoft found that 80% of organisations already had IoT integrated into their operations in 2019, so it is likely they are still reliant on outdated technology.

Indeed, unmanaged devices pose a significant cyber security risk. According to the report IoT Device Security in 2024: The High Cost of Doing Nothing by IoT security firm Asimily, IoT devices often:

  • Are built with low-cost software.
  • Are not designed to have any setup protocols before connecting to the internet.
  • Have hard-coded default passwords.
  • Lack vendor support.
  • Are not designed to be updated or taken offline as they are deemed too critical for operations.

In the report, the Asimily analysts wrote, “Once threat actors gain initial access into a network from a discoverable IoT device, they’re able to laterally move deeper into the information architecture to achieve their goals.

“At the individual device level, IoT equipment is particularly vulnerable to common security pitfalls. Even one unprotected device can lead to a potentially damaging attack. These challenges need to be addressed to account for rising attacks on IoT devices.”

2. Increased connectivity from narrowband IoT

Narrowband IoT, or NB-IoT, is a low-power, long-range fixed wireless network that can connect low data demand assets like street lights and underground water sensors. In February 2024, BT launched its NB-IoT network in the U.K., making it the second telecoms operator to do so after Vodafone in 2017. Virgin Media O2 plans to finish its own rollout of a NB-IoT network by the end of the year, while nothing has been announced publicly about Three UK’s since 2019.

BT’s NB-IoT was introduced to help fast-track smart cities in the U.K., as it will enable many processes involving these low data demand assets to be automated, like leak detection, smart lighting and parking monitors. It will also extend the battery life and improve the efficiency of the IoT devices, ultimately reducing costs.

The expansion of the NB-IoT network to more rural locations could also positively benefit the environment. Irrigation is known to be one of the least sustainable agricultural practices — a 2018 study found that 40% of irrigation water depletes crucial environmental flows. Biocides negatively impact surface and groundwater quality while overwatering can damage nearby soil quality and ecosystems. Variable-rate irrigation systems utilise IoT sensors, controllers and actuators to adjust irrigation rates based on factors such as soil moisture levels, crop needs, weather conditions and field topography. Such technology can reduce water use by 15%, according to a 2020 study, and be repurposed to precision spray biocides.

What does this IoT trend mean for U.K. businesses?

U.K. businesses that make use of low-power technologies for applications like environmental monitoring, livestock tracking, gas and water metering and smart alarm systems, especially in remote areas, will reap the benefits of the expansion of NB-IoT networks.

Statler told TechRepublic, “Having narrowband IoT gives you the price and the performance that will allow new classes of IoT devices to be deployed and start to bridge the gap between the 99% of things that are offline and all of the business benefits of applying AI and connectivity to them.”

Chris Keone, managing director of BT’s Division X, said in a press release, “Growing numbers of businesses are beginning to realise the benefits of IoT applications, and our U.K.-wide NB-IoT network opens up a wide range of connectivity solutions for monitors, sensors, and other smart devices.”

3. AI improves IoT performance

Qualcomm Technologies announced in April 2024 a new embedded AI platform, RB3 Gen 2 Platform, designed to improve the speed of AI processing on IoT devices. This is indicative of the growing trend of sensors, microcontrollers and other IoT hardware being augmented with AI technology to improve their performance.

The modus operandi of the majority of IoT devices is data collection and, according to the International Data Corporation, the total amount generated by IoT devices will be 80B zettabytes by 2025. As well as being directly useful, this data can be used to train AI models that give the IoT device new functionality.

Statler told TechRepublic, “This mega trend of connecting everything to the internet, you’re overwhelmed with data, and everyone’s short of time and impatient. So how do you solve that? Well, that’s where AI comes in.

“(AI) has the ability to take a stream of data from IoT and turn it into actionable events, insights and alerts. It also allows you to have conversations with this kind of omniscient IoT visibility platform.

“Furthermore, the data that is produced by all of these sensors requires machine learning in order to distil it into the basic actionable events. So beyond just having a conversational interface with IoT, machine learning and AI are necessary to make sense of this low level data.”

For example, AI facilitates predictive maintenance in IoT devices by analysing data patterns to anticipate potential failures before they occur — such as in titanium cutting machinery and wind turbines — enhancing safety and uptime. It can also optimise energy consumption by dynamically adjusting settings to minimise waste and improve efficiency, as in the Verdigris Smart Building Management System. Other potential applications in IoT devices include demand forecasting and natural language interfaces.

SEE: Top 5 AI Trends to Watch in 2024

What does this IoT trend mean for U.K. businesses?

According to the 2023 Industry in Motion report by electronics company RS, the average hourly cost of manufacturing plant downtime in the U.K. is £5,121, meaning that AI-augmented IoT has significant scope to lower this figure. McKinsey analysts claim that predictive maintenance can increase production line availability by up to 15%, thereby reducing maintenance costs by up to 25%. Savings can also be made in energy efficiency, with IBM reducing the energy consumption of cooling systems in its commercial buildings by 30% since applying machine learning IoT.

Jeff Torrance, senior vice president in industrial and embedded IoT for Qualcomm, said in the RB3 Gen 2 announcement, “Coming soon, we will be expanding our portfolio of IoT products to address high-performance, industrial grade solutions that will bring a new era of intelligence, functional safety, and robust high-performance compute and I/O capabilities to the most demanding industrial applications.”

With new technologies improving the speed of AI processing on the IoT device and raising the bar for performance, a wider range of products can be expected to become more accessible to businesses of different budgets in a demonstration of “trickle-down technology.” Statler said that moving the processing from distributed architectures to “closer to the edge,” on top of augmenting it with AI, is the key to this. “That’s how it becomes more economic and it can scale,” he told TechRepublic.

Those who rush to take advantage of these AI-powered devices should be wary that they can also open up a new realm of cyber threats. According to Kaspersky Digital Footprint Intelligence, up to 17% of organisations think AI and IoT are either “very difficult” or “extremely difficult” to protect, while only 8% and 12% of AI and IoT users, respectively, believe their companies are fully protected.

4. New memory technologies expand market

In March 2024, data provider TrendForce reported that the prices of DRAM and NAND flash, traditional semiconductors used in IoT devices, had dropped due to weakened demand. That being said, research into more sophisticated memory technologies is not slowing down. In January 2024, a Nature paper unveiled a new “superlattice” that could form the basis of “one of the frontrunners for energy-efficient data storage and computing,” according to the authors.

Indeed, a number of non-volatile memory technologies are starting to be prepared for IoT devices, such as magnetic RAM (MRAM) and resistive RAM. These chips enable faster data access and lower power consumption during data storage and retrieval operations, enhancing the performance and efficiency of IoT devices.

SEE: How to Test Your RAM With Windows Memory Diagnostic

What does this IoT trend mean for U.K. businesses?

In a similar manner to AI-augmented IoT, the increasing sophistication of top-of-the-range chips coupled with the price drop of traditional flash memory will help democratise a new generation of IoT devices for U.K. businesses. “As MRAM $ per GB costs approach those of SRAM (static RAM), this replacement could cause significant market expansion,” wrote storage consultancy firm Coughlin Associates for its report Emerging Memories Branch Out.

Statler agreed, telling TechRepublic, “The cost of the wafer is relatively fixed… so the more memory chips I can get on there, I’m basically amortising that cost.”

He added that new memory technologies could improve IoT power efficiency, meaning smaller batteries are required, reducing the overall size of the device and manufacturing costs. “Having memory that consumes less power will be good for the environment and for the cost of devices,” he told TechRepublic.

“As cost goes down, adoption goes up, new use cases become possible. This is one of the things that is driving more pervasive access to IoT.”

As new technologies drive up IoT adoption, this raises the bar for what it takes to be competitive in a particular industry. “More and more businesses need to be technology savvy, and that puts a burden on them,” Statler told TechRepublic. “If you’re going to be successful, you need to kind of understand more about it than you did last year.”

Securonix Introduces Securonix EON to Combat AI-Driven Cyber Threats

Securonix Introduces Securonix EON to Combat AI-Driven Cyber Threats

In a recent move to tackle the growing menace of AI-powered cyber threats, cybersecurity giant Securonix has launched Securonix EON, a suite of AI-reinforced capabilities to transform CyberOps.

With the anticipated escalation of AI-powered attacks and adversaries, organisations already face the hurdles of ever-expanding attack surfaces, new regulatory and compliance pressures, and resource constraints. Securonix EON responds to these challenges by using Amazon Bedrock to provide a powerful, unified analyst experience with advanced AI-powered capabilities.

Nayaki Nayyar, CEO of Securonix, emphasised the critical importance of this launch, stating, “As the world faces advanced AI-powered threats on top of the myriad of other challenges confronting security teams, we are releasing Securonix EON to help our customers stay ahead of the escalating threat curve”

In an exclusive interaction earlier this year, Nayyar told AIM, “If you thought cyber attacks were bad before, they would only worsen. The use of AI by threat actors will directly impact an organisation’s ability to leverage AI to defend themselves.” Securonix EON is a step towards preventing such threats.

In its initial phase of innovation, Securonix EON will feature AI-enhanced capabilities including Insider Threat Psycholinguistics, Adaptive Threat Modeling, and InvestigateRX.

Securonix’s strategic choice of Amazon Bedrock as the foundation for its advanced capabilities underscores its commitment to delivering unparalleled security solutions.

Amazon Bedrock enables organisations to harness cutting-edge AI technologies to make precise security decisions rapidly, effectively countering the rise of sophisticated AI-powered threats. Notably, Amazon Bedrock aligns seamlessly with the stringent security and privacy standards demanded by Securonix’s extensive enterprise clientele, including compliance with HIPAA, GDPR, and other regulatory frameworks.

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Microsoft to Power General Purpose Humanoid Robots with Sanctuary AI

Sanctuary AI Phoenix

Vancouver-based AI and robotics company Sanctuary AI, which is on a mission to create world’s first human-like intelligence in general purpose robots, announced its collaboration with Microsoft to develop the AI models for the robots.

Sanctuary AI will use Microsoft Azure’s cloud resources for the AI workload, and will collaborate to boost AI research and development. Further, Azure infrastructure will be used for training, inference, networking and storage.

The robotics company is working on Large Behaviour Models (LBMs) that connect AI to the physical world by allowing systems to understand and learn from real world experience. These models will be used for Carbon, the AI control system that powers its Phoenix robots.

“A challenge like this requires the best global minds to work together. We’re excited to be working with Microsoft to unlock the next generation of AI models that will power-general purpose robots,” said Geordie Rose, CEO and co-founder of Sanctuary AI.

“We’re excited to be working with Sanctuary AI to accelerate AI model innovation and embodied AI research in areas like reasoning, planning, and human-agent collaboration,” said Ashley Llorens, corporate vice president and managing director, Microsoft Research.

Race Towards Humanoid Robots

The race towards creating humanoid robots is spearheading with big tech companies collaborating and investing in emerging robotics startups.

Figure Robotics, which created Figure 01 humanoids, has OpenAI’s ChatGPT integrated as its voice modality. The company is backed by top investors including OpenAI, Microsoft, NVIDIA, Jeff Bezos and others.

Boston Dynamics, the pioneers in robotics, also recently unveiled its new electric model of humanoids.

Source: X

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