Tech Mahindra has partnered with Microsoft to enhance workplace experiences for over 1,200 customers and more than 10,000 employees across 15 locations by adopting Copilot for Microsoft 365. The collaboration aims to boost workforce efficiency and streamline processes through Microsoft’s trusted cloud platform and generative AI capabilities. Additionally, Tech Mahindra will deploy GitHub Copilot for 5,000 developers, anticipating a productivity increase of 35% to 40%.
Mohit Joshi, CEO and Managing Director of Tech Mahindra, highlighted the transformative potential of the partnership, emphasising the company’s commitment to shaping the future of work with cutting-edge AI technology. Tech Mahindra plans to extend Copilot’s capabilities with plugins to leverage multiple data sources, enhancing creativity and productivity. The focus is on increasing efficiency, reducing effort, and improving quality and compliance across the board.
As part of the initiative, Tech Mahindra has launched a dedicated Copilot practice to help customers unlock the full potential of AI tools, including workforce training for assessment and preparation. The company will offer comprehensive solutions to help customers assess, prepare, pilot, and adopt business solutions using Copilot for Microsoft 365, providing a scalable and personalised user experience.
Judson Althoff, Executive Vice President and Chief Commercial Officer at Microsoft, remarked that the collaboration would empower Tech Mahindra’s employees with new generative AI capabilities, enhancing workplace experiences and increasing developer productivity. The partnership aligns with Tech Mahindra’s ongoing efforts to enhance workforce productivity using GenAI tools, demonstrated by the recent launch of a unified workbench on Microsoft Fabric to accelerate the adoption of complex data workflows.
At the recent World AI Conference in Shanghai, SenseTime introduced its latest model, SenseNova 5.5, showcasing capabilities comparable to OpenAI’s GPT-4o. This unveiling coincided with OpenAI’s decision to block its services in China, leaving developers scrambling for alternatives.
OpenAI’s move, effective from July 9th, blocks API access from regions where it does not support service, impacting Chinese developers who relied on its tools via virtual private networks. The decision, amid US-China technology tensions, underscores broader concerns about global access to AI technologies.
The ban has prompted Chinese AI companies like SenseTime, Baidu, Zhipu AI, and Tencent Cloud to offer incentives, including free tokens and migration services, to lure former OpenAI users. Analysts suggest this could accelerate China’s AI development, challenging US dominance in generative AI technologies.
The development has sparked mixed reactions in China, with some viewing it as a move to bolster domestic AI independence amidst geopolitical pressures. However, it also highlights challenges in China’s AI industry, such as reliance on US semiconductors, impacting capabilities like Kuaishou’s AI models.
Meta, the owner of Instagram, has collaborated with Vodafone to optimise short-form video delivery on 11 of its European mobile networks. That effort aims to free up network capacity without compromising the viewing experience, addressing the increasing data usage driven by platforms like Instagram, TikTok, and YouTube. According to Ericsson’s 2024 Mobility Report, global mobile traffic grew by 25% in the past year, with video accounting for 73% of all mobile traffic by the end of 2023.
Telecom operators, including Vodafone, have expressed concerns about the financial burden of upgrading networks while Big Tech companies benefit from the increased data usage. A recent EU initiative to have Big Tech contribute to 5G investment has stalled. Vodafone sees its partnership with Meta as a practical solution to address the issue of fair contribution, with Meta’s video optimisation efforts leading to more efficient network resource usage.
During an April trial on Vodafone’s British network, the optimisation resulted in a low double-digit reduction in Meta’s data traffic, freeing up capacity in busy areas such as shopping centres and transport hubs. Both Vodafone and Meta plan to continue collaborating to enhance network efficiencies further. Similarly, Spain’s Telefonica has also started working with Meta to optimise video traffic delivery on its networks.
Singapore’s digital development minister, Josephine Teo, has expressed concerns about the future of AI governance, emphasising the need for an internationally agreed-upon framework. Speaking at the Reuters NEXT conference in Singapore, Teo highlighted that while Singapore is more excited than worried about AI, the absence of global standards could lead to a ‘messy’ future.
Teo pointed out the necessity for specific legislation to address challenges posed by AI, particularly focusing on using deepfakes during elections. She stressed that implementing clear and effective laws will be crucial as AI technology advances to manage its impact on society and ensure responsible use.
Singapore’s proactive stance on AI reflects its commitment to balancing technological innovation with necessary regulatory measures. The country aims to harness the benefits of AI while mitigating potential risks, especially in critical areas like electoral integrity.
Researchers from Cohere and the University of Oxford have introduced an innovative method to enhance reward models (RMs) in reinforcement learning from human feedback (RLHF) by leveraging large language models (LLMs) for synthetic critiques. The novel approach aims to reduce the extensive time and cost associated with human annotation, which is traditionally required for training RMs to predict scores based on human preferences.
In their paper, ‘Improving Reward Models with Synthetic Critiques’, the researchers detailed how LLMs could generate critiques that evaluate the relationship between prompts and generated outputs, predicting scalar rewards. These synthetic critiques improved the performance of reward models on various benchmarks by providing additional feedback on aspects like instruction following, correctness, and style, leading to better assessment and scoring of language models.
The study highlighted that high-quality synthetic critiques significantly increased data efficiency, with one enhanced preference pair as valuable as forty non-enhanced pairs. The approach makes the training process more cost-effective and has the potential to match or surpass traditional reward models, as demonstrated by GPT-4.0’s performance in certain benchmarks.
As the field continues to explore alternatives to RLHF, including reinforcement learning from AI feedback (RLAIF), this research indicates a promising shift towards AI-based critiquing, potentially transforming how major AI players such as Google, OpenAI, and Meta align their large language models.
IBM has launched its GenAI Innovation Center in Kochi, designed to help enterprises, startups, and partners explore and develop generative AI technology. The centre aims to accelerate AI innovation, increase productivity, and enhance generative AI expertise in India, addressing challenges organisations face when transitioning from AI experimentation to deployment.
The centre will provide access to IBM experts and technologies, assisting in building, scaling, and adopting enterprise-grade AI. It will utilise InstructLab, a technology developed by IBM and Red Hat for enhancing Large Language Models (LLMs) with client data, along with IBM’s ‘watsonx’ AI and data platform and AI assistant technologies. The centre will be part of the IBM India Software Lab in Kochi and managed by IBM’s technical experts.
IBM highlights that the centre will nurture a community that uses generative AI to tackle societal and business challenges, including sustainability, public infrastructure, healthcare, education, and inclusion. The initiative underscores IBM’s commitment to fostering AI innovation and addressing complex integration issues in the business landscape.
Why does it matter?
lBM’s new GenAI hub stems from a significant investment in advancing AI technology in India. This centre is set to play a crucial role in accelerating AI innovation, boosting productivity, and enhancing generative AI expertise, which is critical for the growth of enterprises, startups, and partners. By providing access to advanced AI technologies and expert knowledge, the centre aims to overcome the challenges of AI integration and deployment, thereby fostering a robust AI ecosystem. Furthermore, the initiative underscores the potential of generative AI to address pressing societal and business challenges, contributing to advancements in sustainability, public infrastructure, healthcare, education, and inclusion.
US tech giant Microsoft is committed to offering generative AI services in Hong Kong through educational initiatives, despite OpenAI’s access restrictions in the city and mainland China. Microsoft collaborated with the Education University of Hong Kong Jockey Club Primary School to offer AI services starting last year.
About 220 students in grades 5 and 6 used Microsoft’s chatbot and text-to-image tools in science classes. Principal Elsa Cheung Kam Yan noted that AI enhances learning by broadening students’ access to information and allowing exploration beyond textbooks. Vice-Principal Philip Law Kam Yuen added that in collaboration with Microsoft Hong Kong for 12 years, the school plans to extend AI usage to more classes.
Additionally, Microsoft also has agreements with eight Hong Kong universities to promote AI services. Fred Sheu, national technology officer of Microsoft in Hong Kong, reaffirmed Microsoft’s commitment to maintaining its Azure AI services, which use OpenAI’s models, further emphasising that API restrictions by OpenAI will not affect the company. Microsoft’s investment in OpenAI reportedly allows it to receive up to 49% of the profits from OpenAI’s for-profit arm. As all government-funded universities in Hong Kong have already acquired the Azure OpenAI service, they are thus qualified users. He also emphasised that Microsoft intends to extend this service to all schools in Hong Kong over the next few years.
Talen Energy has urged US regulators to dismiss a challenge to its recent agreement with Amazon for a data centre, which has faced opposition from electric utilities like American Electric Power and Exelon. These utilities argue that the deal could lead to higher power bills for the public. Talen countered this claim, stating that the interconnection agreement for the Amazon data centre would not result in increased costs for utility customers or impact grid reliability.
In its filing with the Federal Energy Regulatory Commission (FERC), Talen criticised the challenge as an unlawful attempt to derail a straightforward interconnection service agreement amendment. They argued it was being turned into a national debate on the future of data centre energy consumption, which was unwarranted. The decision by FERC on this matter could set a precedent for future deals where data centres are co-located with power plants, enabling quicker power supply without long interconnection delays.
Talen’s agreement, announced in March, involves selling electricity and a data centre campus at its Pennsylvania nuclear power plant to Amazon Web Services. However, this deal would provide Amazon’s data centres with up to 960 megawatts of electric capacity, sufficient to power around a million homes. Utilities like American Electric Power and Exelon have raised concerns that the agreement could impose a $140 million annual cost shift to regular ratepayers and potentially disrupt the grid during unexpected power plant interruptions.
Talen warned that if FERC allowed the challenge to proceed or rejected the agreement, it could stifle data centre expansion and deter the construction of new power plants amidst rising US electricity demand. Conversely, AEP and Exelon argue that the deal, if approved, could unfairly burden everyday ratepayers with costs associated with power infrastructure that doesn’t benefit them. The timing of FERC’s decision on the case remains uncertain.
Why does it matter?
The IATSE’s tentative agreement represents a significant step forward in securing fair wages and job protections for Hollywood’s behind-the-scenes workers, ensuring that the rapid technological advancements do not come at the expense of human employment.
The European Commission has opened the application process to fund cybersecurity and digital skills initiatives, exceeding a €210m ($227.3m) investment under the Digital Europe Programme (DEP). Established in 2021, the DEP aims to contribute to the digital transformation of the EU’s society and economy, with a planned total budget of €7.5bn over seven years. It funds critical strategic areas such as supercomputing, AI, cybersecurity, and advanced digital skills to advance this vision.
In the latest funding cycle, the European Commission will allocate €35m ($37.8m) towards projects safeguarding large industrial installations and critical infrastructures. An additional €35m will be designated for implementing cutting-edge cybersecurity technologies and tools.
Furthermore, €12.8m ($13.8m) will be invested in establishing, reinforcing, and expanding national and cross-border security operation centres (SOCs). The initiative aligns with the proposed EU Cyber Solidarity Act, which aims to establish a European Cybersecurity Alert System to enhance the detection, analysis, and response to cyber threats. The envisioned system will consist of cross-border SOCs using advanced technologies like AI to share threat intelligence with authorities across the EU swiftly.
Moreover, the DEP will allocate €20m to assist member states in complying with the EU cybersecurity laws and national cybersecurity strategies. That includes the updated NIS2 Directive, which mandates strengthening cybersecurity measures in critical sectors and requires it to be transposed into national legislation by October 2024.
Finally, the latest DEP funding round will also allocate €55m ($59.5m) towards advanced digital skills, supporting the design and delivery of higher education programs in key digital technology domains. Additionally, €8m ($8.6m) will be directed towards European Digital Media Observatories (EDMOs) to finance independent regional hubs focused on analysing and combating disinformation in digital media.
Foxconn, the Taipei-based supplier for Apple, will invest approximately $551 million in two projects in the northern province of Quang Ninh, Vietnam. The company received a $264 million project license at Song Khoai Amata Industrial Park to produce 4.2 million smart entertainment units annually. It will also invest $287 million in Bac Tien Phong Industrial Park for smart-system equipment production.
According to the announcement, the company has committed nearly $1 billion in investments in the province. To support Foxconn, the Quang Ninh provincial government will establish a working group to expedite Foxconn’s construction, aiming for completion by September 2025. Last year, the government announced two additional Foxconn plants for electronic components with a total investment of $246 million.
Why does it matter?
Through its main subsidiary, Hon Hai Precision Industry, which assembles most of the world’s iPhones, Foxconn has been expanding its production facilities to countries like India and Vietnam. That move can be located as a part of the larger trend of tech companies diversifying their supply chain in an attempt to reduce their reliance on China.
