ML - The way the world works - analyzing how things work

unmanned cargo ships will be navigate the oceans. The unmanned cargo ship will combine the technology of unmanned drones to control the ship.

chorus.ai is customer centric. What can we learn from our products? chorus captures interactions in phone and email. chorus.ai stack includes voice recognition. chorus analyzes conversations. Three reasons to analyze conversation: differentiation the closers, cut down on ramp time, and reducing the 80% of calls lost. chorus.ai decompose conversation in semantics and core building blocks. The data is used to determine risks for the deal and topics and themes from conversations. Performance must be collaborative and friendly. Conversation must be open ended to discover the pain the customer is experiencing.

Make debt painful

Debt is simply borrowing money. Saving is the new maximum. Spend what you earn and no more.

verge genomics is using ai to discover drug for health. The power of genomics lead to the creation of the company. the goal is to build a scalable drug discoverable engine across every human disease personalized for each patient. verge is identifying the exact gene signatures causing disease.  Using biological computation prediction into the lab.

in one case study icertis ai automated 70,000 agreements representing legacy contracts in a data repository. Icertis au helped the company to get information out of the documents. Contract generation manually done is much slower process. icertis helps locate different documents and work with them in a efficient way. Icertis analyzes risks and ensures compliance

forethought helps make everyone a genius at their job. can we use ai to help people with work. Everyone has the information problem. go to market. customer support is an important part of the customer experience. automating tasks and assisting employees answer questions and write code. ai can be a companion or tool for all knowledge work. ai took a leap forward in 2017 when forethought started. squad dataset from stanford helped nlp with question and answer. nlp is starting to industrialize. BERT was a state of the art NLP model capable of human language natural tasks.

Central bank policies are the battle that hedge funds capitalize on

atomwise origins is chess Computation biology design of a pharma molecule. Machine learning and big data sets and biology kept creating molecules in simulation that worked. For a drug to work it needs to stick to a protein and arrest the function of the protein. Other proteins need to continue to function properly with the molecule.  The problem becomes a prediction problem. Does the molecule stick, yes or no? test the molecule will bind to the protein. the drug molecule blocks up the protein. Proteins are 3d matrix: oxygen, carbon, hydrogen extra. The 3d grid is feed to the deep learning network cnn. institutions with specific proteins can have a list of possible molecules that will bind to it. atomwise does the computations and sends the results to the partner institution which physically tests the molecule list and sends atomwise back the results.

AIG runs out of money and the government must provide $170 billion in bailout funds to prevent bankruptcy and owns over 80 percent of AIG.