Semiconductor & Technology Specialist, Ingenuity

William Keating

Dr. William Keating is a highly experienced senior executive with over 25 years experience in the IT/Semiconductor Industry. The majority of Dr. Keating's career was spent at Intel Corporation where he held senior leadership positions in Europe, the US and Asia from 1992 through 2014. He served as Intel's IT Director for APAC, China & Japan from 2005 through 2014 when he was based in Hong Kong and was responsible for the IT systems (Infrastructure, Networks, Data Centres, ERP, Sales & Marketing systems, Business Intelligence etc. ) for all of Intel's offices & factories through the region. From 1998 through 2005, he was the founder & director of an internal IT Consulting Organisation (IT Flex Services), a 500-person team which remains a core part of the Intel IT Organisation to this day. Dr. Keating's first 6 years at Intel were spent in charge of the Factory Automation Systems (Robotics, Databases, Networks, Servers, Clients etc.) supporting Intel's then state-of-the-art 200mm factory network. Since leaving Intel in 2014, Dr Keating established his own Technology Research & Consulting Company (www.ingenuity.hk) where he focuses on the products, roadmaps & technologies of companies such as Intel, AMD, Samsung, Apple, Micron- as well as the key equipment suppliers to those companies e.g. ASML, AMAT, Canon, Nikon etc. Dr. Keating specializes in niche topics of high significance within the semiconductor industry. These include the future of Moore's Law and in particular the significance of Lithography in maintaining Moore's Law (EUV, SDA, NanoImprint), the role & growth of the GPU in specialised applications such as Deep Learning (Neural Networks) for Voice, Image & Pattern recognition at companies such as Facebook, Google & Baidu. He also holds regular discussions on the future of memory, in particular the rise of 3D NAND and the emergence of new memory technologies such as 3D Xpoint.

Semiconductor & Technology Specialist

NVIDIA Q425 Beats, Raises, Market Yawns, Then Vomits. A Lake Wobegon Moment Perhaps?

Stargate. It's Not All About You Microsoft. Or You Either Elon

Microsoft (MSFT US) - Cloud Revenue Growth and AI Related Monetization Remain Keys to Watch

Profit Targets for SoftBank Group (9984 JP) After Stargate AI Project Announcement

Ingenuity

Our focus is exclusively on in-depth research & consulting in the broader semiconductor industry. We focus on the key players, namely Intel, Micron, Qualcomm, Apple, Samsung, NVIDIA, AMD, TSMC & Global Foundries - as well as some of the lesser known, but nonetheless critical, companies such as ASML (for EUV), Mellanox, Cavium, Xilinx etc. We specialise in their products, roadmaps, process technologies, competitive advantages & threats etc. We also help our clients understand the implications of new and emerging technologies, e.g. 3D X-Point, 3D NAND, Carbon Nanotubes, Autonomous Driving, Graphene, Silicon Photonics, Wafer-Level Optics, Artificial Intelligence, FPGA, GPU, ASIC etc. 

Semiconductor Analysis & Research

Thematic (Sector/Industry)

Zimbabwe Software / Thematic (Sector/Industry)

<ul>
<li>Microsoft dominated the technology news cycle recently on the back of a report by a TD Cowen analyst that the company is cancelling data centre leases in the US</li>
<li>Dwarkesh Patel's podcast with Microsoft CEO Satya Nadella last week provided a fascinating insight into his thinking when it comes to AI compute build out, AI winners &amp; losers etc.</li>
<li>Mr Nadella's approach to AI compute build out has always been a pragmatic "show me the money and I'll build some more compute" approach. Now we better understand why.</li>
</ul>


Microsoft dominated the technology news cycle recently on the back of a report by a TD Cowen analyst that the company is cancelling data centre leases in the US
Dwarkesh Patel's podcast with Microsoft CEO Satya Nadella last week provided a fascinating insight into his thinking when it comes to AI compute build out, AI winners &amp; losers etc.
Mr Nadella's approach to AI compute build out has always been a pragmatic "show me the money and I'll build some more compute" approach. Now we better understand why.


Microsoft CEO On AI CapEx: Show Me The Money!