Ruth Porat in AI and its budgets

Using a financial model
Dangerous Management
The beginning of the management of the accident, there was no lack of studies from the world's financial crisis.
One of the great privileges of my career was to be separated from Morgan Stanley to work with US Treasury secretary Hank Paulson and many Federal Reserve during this painful period. I will never forget: After working with the US Treasurer and Federal Reserve in Fannie Mae and Freddie Mac, I went home on Sunday after receiving a return call from NY Fed. We have learned that AIG will be outdoors on Wednesday because of the risk of a UK-based adversaries.
That led me to the most important lesson that had been repeated me from always: You cannot drive a car with mud in the Windvield. You cannot use any center with mud in the wind turbine. You need to clear it away – which data and the risk assessment.
AI and ML can be a powerful aid to “ending the air covering.”
Think about the dismissal. Instead of an amazing transaction that causes a book investigation or analytical anniversary, AI patterns see all the entire network in real time. With AI, you can see a new business account that is already disclosed with many small deposits from the country – each under the limit below $ 10,000. Then there is continuing the Name of the Business Director against the ends of the world and media reports, alarming hidden links to a large business. Then inform the security team front Funds are worn. One of the Google bank customers recognizes the highest financial risk of financial risks, 60% of a few false positives, and a speedy pathway from the action of action.
Another critical example of prior diagnosis and risk management is near the cyberercere. The bad news is that attacks of financial institutions – just the main target – it is up. Good news is the tools that include these threats.
On Google, cybersecurity is a sacrosanni – wept deep in our cultural. Google is built from the ground and looks for a large paranoia about each other.
However, we know that we should continue to grow our game, because bad boys do. That is why we continue to invest more on cyberercere maturity. That is why we have found officials. The higher understanding emphasizes the requirement of the prescribed security approach – a powerful verification of co-ordinating, continuous diversion, better power for internal access. Currently, the Global Median “time period” – which means time to get a scene – 11 days. The fastest event is detected, damage against attackers can encourage the attack.
That's why we put Google Depmind – ai research for AI. Recently we are successful in using AI to safety threats that are possible: Google Deepmind launched a deep sleep agent. The MENTI was developed to hide the unknown software risk. We were pleased to see that we find his first world's original error in November, to prove AI can put security holes before they were bullyed.
Since then, they are not many difficult risks, including the latest known for threatening actors. The Intel is used in Google's risk, too much sleep to predict that FAClave would be made of instruments – and close it. This is believed to be the first time AI and leave directly to live exploitation. Google now uses this achievement more than Google, helps protect the source software on the entire internet.
Google will continue to press the boundary, because this is threatened to grow, and it is very important – financial and disappointing. I firmly believe that AI must be used to accompany the growing risk.
Working and efficiency of working and efficiency
In operation and efficiency, I will discuss three examples:
First, AI is used on customer support to be increasingly recognized as a gift that keeps giving. It enables work force, to clear the basic questions, allowing customer support experts to focus on more complex issues. Most importantly, historically, when the phone enter the customer support, it did not take the question of questions and analyze the cause of the root. Here, anyone uses AI communication center is actually able to harvest understanding from a customer center. I just did one of the Bo n't the CEO if the company releases AI customer support, workers have shown that they want more about it. In fact, they say, “This removes the drudge. Our teams have more time to think.”
Secondly, one of the most powerful new tools is something that is built by Google called NoteBooklm. With NoteBooklm, you can download reports, articles, videos, audio files – and will evaluate and analyze. You can ask you to see styles, or release information. You can have them during the consequences and give it to you in the podcast form, which you can distract the questions.
Third, organizations see unusual enlartering in the efficiency of engineers and production of AI and tools such as coding Assist, which is Google and many other donors. We hear this repeated from banks as a priority.
Establishment and Growth
The last phase: AI can support and speed up the chances of growing – to add alpha.
That new can be the Tech Setain, I understand chips, models and apps. We also address many banks and other financial services about the use of TPU within their system to improve their trading activities.
For applications, it can enter solutions that allow organizations to approach customers – especially with Agentic AI. A single example of colleagues is happy about the opportunity to speak called Henrys: the most earlier, rich at the moment. Top financial institutions use tens of thousands of financial adviser who provide their own time to know, understanding, and working for appropriate benefits. However, that White Glove model cannot cope with the rapid part of a rapid wealth – a rich weight and “Henrys.” That means there is a “advice gap” and the lost opportunity to build the next relationship with high customers.
This is a great opportunity to install Agentic Agentic AI – Systems that include the intelligence of AI modified AI modified models, so they can make information and understand your action and under your control. This enables advisors to combine personal customers, reduce the time to prepare for 60%, and, advisors focus on building relationships.



