Author: Kurt A Cagle<\/p>\n
This week, the Chinese government made the announcement that several key manufacturing hubs critical to chip production will be shut down periodically in order to reduce the high demand for power (driven mostly by goal production), with companies including Apple, Nvidia, and Intel all making announcements that this would have a direct impact upon their own supply chain availability.<\/p>\n
This announcement came at a particularly bad time for the beleaguered computer chip industry. A fire at a major chip fabrication plant in Japan earlier this year has already impacted automobile production in the United States and elsewhere, as many of the chips produced there were specifically for the increasingly complex machine learning components going into contemporary vehicles.<\/p>\n
Additionally, the emergence of the Delta variant of the Covid-19 virus is ramping up as much of the Northern Hemisphere moves into the Fall and Winter months, which had both forced many companies that were just beginning to emerge from the earlier strains of the virus to once again put plans on hold, quite probably into late Spring. This is also putting strain on chip production, especially specialized GPUs that are at the core of the AI revolution.<\/p>\n
This has pushed the cost of electronics and related goods up significantly as inflation, which has been fairly dormant for the last twenty years, is now beginning to heat up. From an enterprise standpoint, this is generally bad news, though in the longer term one effect of this is likely to be that more countries will start to invest once again into their own chip production facilities (as Japan, South Korea, and the United States have all recently announced they are ramping up to do). However, in the interim this deficit is likely to hit companies that have been buying these specialized high-performance chips for building out machine learning and AI-based pipelines, as well as those involved in media production.<\/p>\n
It’s also possible, though by no means certain, that this could have the effect of reducing the hiring of data scientists and machine learning specialists, at least in the short term, until new capability comes online. Whether this spills out into the broader economy remains to be seen, but the increasing stress on global supply chains, coupled with the increased environmental and energy costs of advanced computing, makes this worth keeping an eye on.<\/p>\n
In media res,<\/p>\n
Kurt Cagle<\/a><\/strong> Community Editor,Data Science Central<\/a><\/p>\nTo subscribe to the DSC Newsletter, go to Data Science Central<\/a> and\u00a0become a member today. 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businesses<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Costanza Tagliaferi<\/a>\u00a0on 28 Sep 2021<\/div>\n<\/li>\n\n\u00a0Real-World Applications Of Machine Learning In Healthcare<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Shaip AI<\/a>\u00a0on 28 Sep 2021<\/div>\n<\/li>\n\n\u00a0A window of opportunity for data democracy (Part I of III)<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Alan Morrison<\/a>\u00a0on 28 Sep 2021<\/div>\n<\/li>\n\n\u00a0Best Data Science Certifications In 2022<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Aileen Scott<\/a>\u00a0on 27 Sep 2021<\/div>\n<\/li>\n\n\u00a0How to Build a Regression Testing Strategy for Agile Teams<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Mitul Makadia<\/a>\u00a0on 27 Sep 2021<\/div>\n<\/li>\n\n\u00a0Topic Modeling: Algorithms, Techniques, and Application<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Roger Max<\/a>\u00a0on 27 Sep 2021<\/div>\n<\/li>\n\n\u00a0Companies who had AI and Digital at their core have fared far better in the pandemic<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0ajit jaokar<\/a>\u00a0on 26 Sep 2021<\/div>\n<\/li>\n\n\u00a0Machine Learning Career: Pros and Cons of Having a PhD<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Vincent Granville<\/a>\u00a0on 25 Sep 2021<\/div>\n<\/li>\n\n\u00a05 most common data quality issues and how to overcome them.<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Indhu<\/a>\u00a0on 24 Sep 2021<\/div>\n<\/li>\n\n\u00a0Machine Learning Model Selection strategy for Data Scientists and ML Engineers<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Shanthababu P<\/a>\u00a0on 24 Sep 2021<\/div>\n<\/li>\n\n\u00a0Top 20 Data Science and Machine Learning Projects in Python (Part-II)<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Shanthababu P<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0Optimizing and Accelerating COVID-19 Predictive Modeling<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Benedict Timmerman<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0DSC Weekly Digest 21 September 2021<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Kurt A Cagle<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0Why Do You Need Data Matching ?<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Sonal Goyal<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a05 WEB DEVELOPMENT TRENDS TO RULE 2021<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Amit Dogra<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0SAP BW Data Mining Analytics: Process Reporting (Part 2)<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Sergey Lukyanchikov<\/a>\u00a0on 21 Sep 2021<\/div>\n<\/li>\n\n\u00a0Don\u2019t Let Tooling and Management Approaches Stifle Your AI Innovation<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Giuliano Liguori<\/a>\u00a0on 16 Sep 2021<\/div>\n<\/li>\n\n\u00a0Understanding Static Data Management<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Data Geek<\/a>\u00a0on 16 Sep 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Timmerman<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0DSC Weekly Digest 21 September 2021<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Kurt A Cagle<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0Why Do You Need Data Matching ?<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Sonal Goyal<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a05 WEB DEVELOPMENT TRENDS TO RULE 2021<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Amit Dogra<\/a>\u00a0on 22 Sep 2021<\/div>\n<\/li>\n\n\u00a0SAP BW Data Mining Analytics: Process Reporting (Part 2)<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Sergey Lukyanchikov<\/a>\u00a0on 21 Sep 2021<\/div>\n<\/li>\n\n\u00a0Don\u2019t Let Tooling and Management Approaches Stifle Your AI Innovation<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Giuliano Liguori<\/a>\u00a0on 16 Sep 2021<\/div>\n<\/li>\n\n\u00a0Understanding Static Data Management<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Data Geek<\/a>\u00a0on 16 Sep 2021<\/div>\n<\/li>\n\n\u00a0Entertainment AI Is Ramping Up to the Next Level<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0sophiamills<\/a>\u00a0on 16 Sep 2021<\/div>\n<\/li>\n\n\u00a0Chatbots: Their Role in FinTech Industry<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Ryan Williamson<\/a>\u00a0on 15 Sep 2021<\/div>\n<\/li>\n\n\u00a0SAP BW Data Mining Analytics: Model Reporting (Part 1)<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Sergey Lukyanchikov<\/a>\u00a0on 15 Sep 2021<\/div>\n<\/li>\n\n\u00a0Why Java-Based IoT Solutions Make Sense<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Ryan Williamson<\/a>\u00a0on 14 Sep 2021<\/div>\n<\/li>\n\n\u00a0How to Reduce Cloud Costs: Tips from DevOps Engineers<\/a><\/b>\n<\/div>\n\u00a0\u00a0\u00a0\u00a0\u00a0Yuri Filatov<\/a>\u00a0on 14 Sep 2021<\/div>\n<\/li>\n<\/ul>\n<\/div>\n\nPicture of the Week<\/span><\/strong><\/span><\/div>\n\n\n<\/span><\/span><\/a><\/div>\n\n\nFederated Identity 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