Instructor: Aleksi Aaltonen, Section 002

Ansh Chaudhary

Google Investing 1 Billion in New NYC Campus.

Alphabet’s (google) CFO announced in a blog post that it will be expanding its New York City operations.  More specially Ruth Porat said they will be investing 1 billion into a new campus, in an effort to more that double its current headcount.  Google currently has 7000 employees in New York and hopes to add 7000 more over the next decade.  Google signed leases for two buildings, 315 and 345 Hudson Street, and are expected to move in the year 2020.  They have also signed a letter of intent for a building on 550 Washington street and are expected to move in by 2022.  The combination of these three building will make Google’s new Hudson Square Campus which will be the headquarters for all New York operation.  Current divisions of google that exist in New York are Search, Ads, Maps, YouTube and Cloud.

Google expansion into New York seems to be following a trend that is going on in silicon valley.  The trend being massive expansion of domestic operations.  Originally Amazon announced its HQ2 project and decided on having it in New York and outside Washington D.C.  Apple announced that it was building a new office in Austin Texas.  Now Google is latest tech giant to announce an expansion, but it probably won’t be the last.  These huge expansion by these tech giants show how intense competition is among them and the fear they have of rivals gaining a competitive advantage.  That is why you are beginning to see the emergence of a multi-point competition in the tech industry similar to that of the auto industry.  So if one tech giant makes a move expect the others to follow.

AI Angel: How machine learning is assisting venture capital.

Hone Capital is the Silicon Valley-based arm of a large venture-capital and private-equity firms in China, CSC Group.  In order to gain a competitive advantage, in 2015 Hone invested heavily into the development of a machine learning model to aid in investing decisions.  In order to build the model they used a database of 30,000 deals from the past decade and tracked 400 different characteristics, and from that found 20 factors that were predictive of success.   The insights gained from this analysis allowed the fund to identify deals they would have normally overlooked and readjust tactics to make success a more likely outcome.  After the implementation of machine learning analytic models, Hone Capital’s deal success rate has risen to over twice than the industry average (average success rate was 16% Hone had a 40%).  This use case demonstrates the vast value of insights gained from AI analysis and how it can be used to optimize instead of replacing business processes.

https://www.mckinsey.com/industries/high-tech/our-insights/a-machine-learning-approach-to-venture-capital

Netherland Electricity powered by Blockchain

In the Netherlands, IBM and TenneT (electricity supplier for the Netherlands and Germany) are partnering up to investigate the use of Blockchain of the ledger system of blockchain technologies.  Vandebron is implementing the system with TenneT to track the use of renewable energy and more specifically the flexible capacity of electric cars and household batteries.  The electric cannot have any downtime in operation and in order to maintain the supply excess electricity exists in Reserves.  Vandebron in this project will be working with electric car owners to contribute capacity of their batteries into the grid.  In essence electric car batteries could make for shortages in electrical supply.  In this pilot version however actual battery capacity wont be used but signaling and communication via blockchain mining will be established.

The significance of the disruption of Blockchain in power shows how new technologies can make older systems more agile and efficient.   In this instance shortages are potentially being made up of decentralized system of consumer batteries rather than a central power reserve.  The implication should result in a more concise and high performing electricity system and provides a new potential source of energy recycling in a time where electrical supply needs are only increasing