Your trusted source for the latest news and insights on Markets, Economy, Companies, Money, and Personal Finance.
Popular

Unlock the Potential of AI 2.0: Investing in a Revolutionary Technology

Key Points

The AI 2.0 wave is crashing over the economy and touching every part.

Multiple advances and approaches are in use today, providing value to businesses and investors.

Here are the top 5 advancements in AI and where the technology is being used.

5 stocks we like better than International Business Machines

It is here for those wondering when the 2nd phase of AI will arrive. We are in the 2nd wave of AI, the wave in which it becomes applied to business at all levels of the chain. NVIDIA NASDAQ: NVDA is the driving force of AI news because of its central role as a chip supplier, but it is only a cog in the wheel. Several types of AI and AI applications are loose in the world and are not all the same.

If not all, many will eventually become integrated, but that will take time, which is why AI is a generational opportunity. The AI revolution is in its earliest phases, has many decades to run, and will drive returns for investors.

Transformer Networks Get All the Attention

Transformer networks are giant, pre-trained AI models that can multitask, understand text, read code, and generate new content. ChatGPT and other generative AI models represent this type of AI. This type of network can handle more work with greater accuracy than stand-alone models doing similar workloads.

The businesses doing the most work in this industry are the hyperscalers such as Amazon NASDAQ: AMZN Web Services, Google NASDAQ: GOOG, IBM NYSE: IBM, and MSFT NASDAQ: MSFT, which host the cloud. The cloud is where AI lives, at least for now, and will continue growing. Services using this model include workflow-enhancing automation for digitized networks.

Synthetic Data: It’s As Real As It Gets

Synthetic data is an offshoot of transformer networks that evolved based on data needs. It’s hard for AI companies to get sufficiently large quantities of data at reasonable costs, and it is harder every day. Personal privacy is a driving force in society, which helped push the AI community to Synthetic Data.

Synthetic Data is data generated by AI to train other AI. Scary as that sounds, it’s being used by the autonomous driving industry, financial services, insurance providers, pharma companies, and computer vision. Computer vision is an important segment within AI. It allows computers to sense, recognize, inspect, and track objects. When combined with other AI models, data generated by chips from companies like Ambarella NASDAQ: AMBA is turned into actionable information.

Reinforcement Learning: Optimizing Manufacturing in a New World

Reinforcement learning takes synthetic data to the next level. It is used to help train machine learning models using multiple environment/data flows, which are augmented and enhanced by synthetic data. These models are used to optimize manufacturing via automation and robotics. Robotics companies ranging from Rockwell Automation NYSE: ROK through Zebra Technologies NASDAQ: ZBRA, Intuitive Surgical NASDAQ: ISRG, and UiPath NYSE: PATH are leaning heavily into this technology.

UiPath develops and markets a range of digital robots that can automate business and industry. Uber NYSE: UBER is a telling example of how useful the platform is. It struggled to keep track of its growth but has been able to refocus on core business with the aid of UiPath automation.

Federated Learning: The Fabric of AI

Federated learning encompasses all the technology for combining models, sharing data, and interconnectivity between AI apps. Again, this is the sphere of the hyperscale providers such as Google and Microsoft, but others, such as Oracle NASDAQ: ORCL and Adobe NASDAQ: ADBE stand out as key players.

Causal Inference: Advancing Knowledge Globally

Causal inference is the advancement of data analytics. It can determine cause and effect from data sets, make predictions, and prevent errors based on false assumptions. R&D teams, including pharmaceutical discovery, are using this type of AI. Novartis NYSE: NVS is only 1 of the big 10 pharma companies using this approach, and it is 1 that pays off. Novartis has deals with Microsoft and NVIDIA to scale its AI infrastructure over the next decade. Before you consider International Business Machines, you’ll want to hear this. financehubusa keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. financehubusa has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and International Business Machines wasn’t on the list. While International Business Machines currently has a “Hold” rating among analysts, top-rated analysts believe these five stocks are better buys. View The Five Stocks Here financehubusa has just released its list of 20 stocks that Wall Street analysts hate. These companies may appear to have good fundamentals, but top analysts smell something seriously rotten. Are any of these companies lurking around your portfolio? Find out by clicking the link below. Get This Free Report

Share this article
Shareable URL
Prev Post

Workers at Energy Plants in Australia Bring Operations to a Standstill

Next Post

3 Stocks to Benefit from the Loosening of the Food Supply Chain

Leave a Reply

Your email address will not be published. Required fields are marked *

Read next
Key Factors Shares of Nvidia have been rallying laborious this yr, persevering with final yr’s pattern.…
Key Factors McDonald’s is ready to proceed outperforming its fast-food friends.  Meta shares ought to see…