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Web Release
3 hours ago
- Web Release
Bain & Company forms strategic partnership with Dr. Andrew Ng to accelerate AI transformation for clients worldwide
Bain & Company today announced a strategic partnership with Dr. Andrew Ng and his advisory firm, AI Aspire, to help organizations unlock scalable, transformative value from artificial intelligence. Dr. Ng is a renowned British-American computer scientist, AI thought leader, and founder of The collaboration combines Bain's deep industry knowledge and expertise in AI implementation with Dr. Ng's pioneering insights in AI and machine learning, with the goal of empowering companies to move beyond experimentation and deliver enterprise-level results with AI. 'AI is the most transformative technology of our generation—and realizing its full potential requires both cutting-edge technical thinking and practical execution at scale,' said Chuck Whitten, senior partner and global head of Bain & Company's digital capabilities. 'That's what Bain does best. We're thrilled to welcome Andrew Ng—one of the foremost minds in AI—to our team, joining forces with our 1,500 AI and digital practitioners to help clients move from experimentation to enterprise-wide impact.' As demand for AI-enabled solutions accelerates, Bain has seen a sharp rise in client needs across sectors. Tech- and AI-enabled revenue now comprises approximately 30% of the firm's business, with expectations to grow to 50% in the coming years. 'I'm thrilled to partner with Bain & Company to make the best AI thinking accessible to leaders around the world,' said Dr. Andrew Ng. 'Companies that lack a thoughtful, strategic approach to AI risk falling far behind their competitors. This partnership is about equipping organizations to lead—not follow.' Bain's AI, Insights, and Solutions practice includes more than 1,500 AI, data, analytics, architecture, and engineering experts. This multidisciplinary team combines algorithmic, technical, and business expertise to solve business leaders' hardest problems. This includes machine learning application implementation, business insight delivery, technology architecture and engineering, organizational development, and analytics strategy. The group integrates closely with the firm's industry and capability practices to deliver holistic business and technology solutions. The firm has also significantly expanded its wider digital and AI ecosystem of partner organizations, including forming key alliances with OpenAI, Microsoft, AWS, Google, SAP, Salesforce, and IBM.


Khaleej Times
a day ago
- Khaleej Times
Timeline: How the US-China semiconductor war has unfolded
The United States has in recent years sought to curb exports of cutting-edge semiconductors to China, with Nvidia and other US chip companies lobbying against its tough restrictions. As Nvidia says it will resume sales of a less powerful AI semiconductor model to China, here is a run-down of the microchip conflict: August 2022: Biden's Chips Act Joe Biden, then US president, signs a bill to boost domestic chipmaking, an industry Washington fears China could come to dominate through mammoth state-backed investments. The Chips and Science Act includes around $52 billion to promote the production of microchips, the tiny components that power almost all modern machinery. October 2022: Export controls Washington suddenly restricts exports of some high-end microchips -- crucial to the manufacturing of powerful AI systems -- to China on national security grounds. The rules, which also toughen requirements on the sale of semiconductor equipment, aim to limit Beijing's access to state-of-the-art chips with military applications. China says the United States is attempting to "maliciously block and suppress Chinese businesses". December 2022: Blacklist The US blacklists 36 Chinese companies, including advanced chip producers, severely restricting their use of American semiconductor manufacturing tech and designs. Many of them have close ties to China's defence sector, with some linked to efforts to develop hypersonic and ballistic missile systems. October 2023: US tightens curbs A year after those restrictions -- and following the November 2023 release of OpenAI's generative AI chatbot ChatGPT -- Washington tightens the screws on China. As the world discovers the powers of AI, the release by China-owned Huawei of a new smartphone featuring a powerful home-grown advanced chip also sparks US alarm. Attention has so far been focused on Nvidia's industry-leading H100 chip, but the export curbs are widened to other, lower-performing semiconductors made by Nvidia and its peers. December 2024 - January 2025: Biden's final moves In the weeks before Donald Trump returns to the White House, Biden imposes a series of new rules on high-end chip exports to China. One of them requires authorisations for exports, re-exports and in-country transfers -- a bid to avert any circumvention of chip supply to China from other nations. There are some exceptions for countries considered friendly to the United States, but most face a cap on imports of advanced chips. "The US leads the world in AI now -- both AI development and AI chip design -- and it's critical that we keep it that way," Commerce Secretary Gina Raimondo says. The new rules will take effect in 120 days -- giving Trump's incoming administration time to potentially make changes. January 2025: Deepseek moment Chinese firm DeepSeek's artificial intelligence chatbot soars to the top of the Apple download charts, stunning industry insiders and analysts with its ability to match its US competitors. April 2025: H20 blocked Nvidia has developed new H20 semiconductors -- a less powerful version of its AI processing units designed specifically for export to China. But the tech giant says it has been told by Washington that it must obtain licences to ship the H20s to China because of concerns they may be used in supercomputers there. May 2025: Trump reverses Biden-era controls The Trump administration rescinds some of the chip export controls, answering calls by countries who said they were shut out from crucial technology needed to develop AI. Some US lawmakers feared the cap would have incentivised countries to go to China for AI chips, spurring the superpower's evolution into a tech superpower. As an alternative, the US Commerce Department reminds AI actors that using Huawei Ascend, the Chinese tech giant's most advanced chip, violates US export controls -- something Beijing later slams as "bullying". July 2025: H20 sales resume Nvidia says it will resume sales of its H20 chips to China, after Washington pledged to remove the licensing curbs. CEO Jensen Huang is expected to attend a major supply chain gathering in Beijing -- his third trip to China this year, Chinese state media says.


Zawya
a day ago
- Zawya
Amazon CTO: The future is African, but let's educate everyone on AI
Amazon's Chief Technology Officer, Werner Vogels is responsible for driving the company's customer-centric technology vision. Dr Vogels joined the American multinational technology company, which is engaged in e-commerce (it is the world's largest online retailer), cloud computing, online advertising, digital streaming, and artificial intelligence, in 2004 from Cornell University, where he was a distributed systems researcher. During his recent visit to Nairobi, he spoke to The EastAfrican about how Amazon envisions its technological and ethical responsibilities in 2025 and beyond, with Africa as a central focus. What drew you to sub-Saharan Africa, and what potential did you observe in terms of digital innovation?I make it a point to visit regions every year, as it's vital to understand how business and innovation evolve globally. Sub-Saharan Africa stood out for me because of its remarkably young and increasingly educated population, particularly in Nigeria, Rwanda and Kenya, where the median age is under 25. Many of these young people are not just tech-savvy but deeply committed to solving real societal challenges through innovation. What excites me most is their focus, not on becoming the next unicorn, but on using technology to address complex problems in health, agriculture and education. Organisations like ALX are playing a crucial role in this transformation by equipping youth with practical, skills-based training that goes beyond formal education. I see enormous potential here. Just as India and Vietnam became global hubs for outsourcing and development, I believe Africa is poised to become the next major force in digital innovation. Amazon has been supporting small modular reactors (SMRs). How do you deal with the historical public scepticism around nuclear energy?The rapid rise of digital technologies presents immense opportunities, but also significant responsibilities, chief among them ensuring our innovations are sustainable. At Amazon, our top priority is to power our infrastructure in a way that does not harm the planet. We achieved 100 percent renewable energy usage across our global operations in 2023, ahead of our 2025 commitment, and remain the world's largest corporate purchaser of renewable energy. However, we recognise that access to renewables is not always immediate or consistent across all regions. That's why we invest in over 600 clean energy projects globally, including solar, wind and geothermal. As part of our exploration into future-ready energy solutions, we are also evaluating the potential of SMRs to contribute to a zero-carbon future. We are aware of the historical concerns surrounding nuclear energy, particularly related to safety and waste management, but recent advancements in reactor design and regulation offer promising new pathways. Similar to how artificial intelligence and other transformative technologies require education and skill development, SMRs will depend heavily on a highly trained workforce to ensure safe and responsible deployment. Ultimately, sustainability is not only about deploying new technologies, it's about building the expertise and systems around them to ensure long-term safety, reliability, and impact. As generative AI and cloud computing rapidly reshape Africa's digital landscape, what role does education play?Education has become an essential foundation for AI, both for individuals and organisations, to harness innovations responsibly and effectively. We strongly believe that continuous learning is critical in a fast-evolving technological world. It's not enough to rely on formal education alone; practical, skills-based training is increasingly vital. Organisations must invest in upskilling their teams and individuals must remain curious and committed to lifelong learning. To support this, Amazon Web Services (AWS) has already trained more than 300,000 people in sub-Saharan Africa in cloud technologies. We actively collaborate with institutions like ALX, which provides AWS certifications, and we work closely with ministries to ensure that universities integrate cloud computing and AI into their curricula. Our goal isn't simply to grow AWS users, it's to empower people to choose the best technology to solve their unique challenges. AI consumes a lot of electricity. In the US, it is expected to account for nine percent of national consumption by 2030. So, how is Amazon planning to future-proof its infrastructure?There are two core strategies we are implementing. First, we've fundamentally transformed the economic model of computing. Traditionally, businesses had to make large upfront investments in infrastructure, often based on uncertain future needs. AWS introduced a pay-as-you-go model that aligns costs directly with resource usage. This model inherently promotes sustainability, by using only what you need, you minimise waste and energy consumption. This is especially relevant in the age of generative AI. Large models with billions or trillions of parameters can be significantly costlier and energy-intensive than smaller, task-specific models. At AWS, we give customers the flexibility to choose the most efficient model for their application, helping reduce both environmental and financial costs. Smaller models can be just as effective for certain use cases while consuming a fraction of the power. Second, our infrastructure innovation is ongoing. We operate millions of servers globally and continuously optimise our data centres for energy efficiency. For instance, by designing our own hardware—including ARM-based Graviton chips and Inferentia AI accelerators, we've achieved up to 50 percent greater energy efficiency compared to general-purpose processors. We've also re-engineered elements of our data centres, such as eliminating unnecessary energy transformations by building power supplies directly into our server architecture. We're also focused on maximising community impact. In Ireland, for example, we repurposed excess heat from our data centres to warm nearby homes, demonstrating how infrastructure can serve both global technology needs and local communities. Ultimately, our view is clear: We cannot accelerate the adoption of powerful technologies like AI without also addressing their environmental impact. You've said a number of times that we're on the cusp of a movement where AI tools empower citizens to verify information in real time. Which tools do you use and how do you ensure that they are not misused?Yes, AI has the potential to empower citizens with tools to verify information in real time. However, this progress also brings with it the risk of misinformation, disinformation and manipulation through deep fakes. One of the major challenges today is the public's access to credible information. People are increasingly relying on social media as their primary news source, studies show that over half of the population in some countries get news from these platforms rather than traditional outlets. Yet, when you compare reports from different international media houses, it's clear that narratives often diverge. This raises a critical question: what constitutes the truth?At Amazon, we take seriously the responsibility of supporting trustworthy digital ecosystems. One of our core leadership principles is: With scale comes broad responsibility. Even if fact-checking isn't our core business, we believe it is our duty to help build the infrastructure that supports transparency and accountability in the digital age. We are exploring how AI can be used to develop better content verification tools, including image recognition, geolocation analysis and real-time media verification systems. These tools could allow users to identify where and when a photo was taken or assess whether a video clip has been digitally manipulated. It is equally important to distinguish between responsibility and ethics. While ethics may evolve with cultural and technological shifts, responsibility is constant. We must design AI technologies that are accountable by default, especially in areas like media integrity and public trust. I believe that the younger generation, digital natives who are passionate about truth and transparency, will lead the charge in developing tools that counter disinformation. At Amazon, we want to support that mission by investing in and helping to scale the responsible technologies that safeguard public discourse. You are a firm advocate of using hyperlocal community-sourced data in building solutions for people, especially in disaster resilience. How might AWS help with this?During my visits to sub-Saharan Africa, I often ask a fundamental question: How accurate are your maps? The reality is that commercial mapping solutions tend to focus on commercially viable regions, leaving vast rural areas underserved. This gap can hinder healthcare delivery, emergency response and disaster recovery. To address this, we actively support initiatives like the Humanitarian OpenStreetMap Team, which gathers essential geographic data in remote regions. Their work enables better coordination of relief efforts and improved infrastructure planning. Notably, their chief technology officer is part of our AWS CTO Fellowship, a programme designed to mentor and equip technologists in mission-driven organisations with the leadership skills and tools needed to scale their impact. We also believe in supporting localised, sustainable solutions. In areas where access to national energy grids is limited, decentralised solar-powered systems, paired with battery storage, offer immediate and scalable impact. During my visits, I've seen first-hand how something as simple as a solar lamp can empower schoolchildren to study at night, transforming educational outcomes in underserved communities. By fostering grassroots innovation and equipping local organisations with advanced tools and mentorship, we strengthen community resilience through technology. © Copyright 2022 Nation Media Group. All Rights Reserved. Provided by SyndiGate Media Inc. (