Link to Article "C ould a startup founded by two guys in their 20s change the way medical researchers study patients? The Food and Drug Administration is open to the possibility. Flatiron Health began as a small New York tech company trying to use real-world data from patient electronic medical records to replace more traditional clinical trial data. Then it raised $328 million, launched a modest collaboration with the FDA to study the use of its so-called “real-world” data in 2016, and entered partnerships with just about every major drug firm. Last year, it was acquired for $1.9 billion by the Swiss drug giant Roche Holding." "On Monday, Flatiron will announce that it is renewing and expanding its research relationship with the FDA, allowing the agency to further test the ways in which it can it can use Flatiron’s data in lieu of more traditional clinical trial data to make decisions. “The FDA recognizes the tremendous importance of analyzing treatment data from the real world,” Dr. Richard Pazdur, director of FDA’s Oncology Center of Excellence, said in a statement from Flatiron." ... more
Forbes Link Extract: 1) Smarter tech to inform decision-making Companies continue to invest in cognitive software capabilities, and although only the major players have deep enough pockets to realistically expect yield from such investments in the near term, empowered computer algorithms will undoubtedly play a key role in business across industries in the future. What does this mean in real terms? Well, it means that as AI becomes more proficient at analyzing and interpreting mountains of data, and doing so faster than ever before, businesses have the chance to build better, more personalized and profitable campaigns. It means that as AI apps harvest patterns and insights from text, numbers, still images and video, you can better apportion budget and resources based on the insights gleaned from the advancing field of artificial intelligence and deep learning. 2) A streamlined supply chain The supply chain is one of the more obvious areas that AI can help to improve, enabling enhanced agility and accuracy via the automation of manual processes. From AI-equipped machines such as inventory-taking drones to program-guided vehicles like driverless warehouse carts and improved data analytics and anomaly-detection software, smart tech is making the supply chain less fallible than ever. To make the most of AI in your supply chain, the adoption of natural language processing (NLP, the tech at the heart of Amazon Echo), robotic process automation (RPA) and deep learning technologies will be essential in the near future. 3) Continued focus on mobile In the coming years, smartphones will have AI built directly into the hardware via a dedicated processor, a knock-on effect of which will be the popularization of features such as real-time speech translation. So, what does the incorporation of smarter AI into mobile devices mean for you? Well, the proliferation of new applications presents myriad opportunities for businesses of all shapes and sizes, and exploiting relevant apps will help open avenues for ROI. Furthermore, optimizing your site or service for mobile will continue to pay dividends. Naturally, you’ll also need to think about using mobile developers who possess a sound knowledge of both artificial intelligence and machine learning. 4) Customer relations Engaging with customers is an integral part of any B2C enterprise but artificial intelligence is expected to alter these customer support processes in the coming years. AI-powered software solutions including sentiment analysis technology mean you won’t need a human to properly gauge a customer’s tone of voice, thus helping businesses respond more effectively to concerns, complaints and queries. After all, clients who have a pleasant experience with a company are more likely to want to share that experience with others, both online and offline. 5) Recruitment practices What’s the best way to hire? There might be a different answer to that question in a few short years, as AI is predicted to replace 16% of HR jobs within the next decade (Undercover Recruiter). The integration of AI into your recruitment processes could make the endeavor to find the next bright-spark candidate easier and quicker, thereby saving you time and money. It’s not just a case of finding the right candidate that artificial intelligence can help with, but also finding the best fit, which AI can do by rapidly assessing a candidate’s online presence, matching it to the company ethos. 6) Improved cyber security One of the most common ways to use AI in business is to track and identify behaviors consistent with fraud. Clever apps and software can also regularly self-adjust as they scrutinize and learn from data over time. Given the data breaches that have hit the headlines in recent years, and also the fact that cyber-attacks continue to grow ever more sophisticated, incorporating AI into your business is vital to protect consumer data, inspire trust and deliver true business value. Of course, the danger is obvious: AI can be used by both sides, both those seeking to attack and those determined to defend. This should be kept in mind at all times. SUMMARY: To summarize, remember that: AI is not here to replace all of our existing processes: it is here to augment and improve, where necessary, and to help us work smarter. This applies to robotic process automation as much as computer vision, machine learning and other forms of AI. Tech is not yet infallible (user-friendly AI remains incredibly tricky to implement) and perhaps it never will be, but AI can gather and analyze data quicker than people can – and it can work alongside people much like any effective tool. It can also eliminate or significantly reduce mindless and repetitive tasks and bolster productivity. With the use of AI in business certain to continue at pace, use it to improve your standard business processes, streamline strategic output and remove guesswork from your decision-making. Embrace the future.
Video from a panel forum I participate on Currnt.com See Executive Summary Below ... Executive Summary (by Frank Kovacs)
AI as a technology brings much benefit with the new technology but also many concerns
- As we deploy AI we must be extremely cognizant in how we use the technology so that we don't instill and perpetuate bias through the AI implementations
- It is also extremely critical that these benefits of AI technology help improve cybersecurity and can thwart those attempting to use the same technology to compromise security for their gain.
- Finally it is critical that the AI implementations themselves are done in such a way with appropriate level of security so they don't become compromised and their integrity breached
Key Point How AI is being used in Security operations Key Takeaways "Sandboxing. is a technique that allows potentially suspect content to be diverted to a "sandbox", for execution. File attachments, web links, etc. can be tested automatically by security software to ensure they are safe, prior to passing them on to end users." by Sandy Bish"we have been using AI for Security operations. We are using for threat management, Vulnerabilities, Log Analysis, Cloud security" by Anand V"the concept of sandboxing is also the perfect environment for proper training of AI. The engine takes the first pass at determining the level of safety, but the recipient is also provided the ability to override the decision thus teaching the AI engine to better determine right from wrong." by Marsha Williams Key Point How are trust, transparency, and bias being addressed in your AI implementations Key Takeaways "Certain applications of AI are not 100% ready for prime time, but in due time, they will be ready. Natural language, application of "emotion", life-death scenarios must still be reviewed by humans to ensure the recommendations pass appropriateness tests." by Sandy Bish"Amazon had to recently put down its AI-based recruitment application as a result of innate demographical biases. AI's intersection with cybersecurity will become an interesting thing must down the road especially when ethically applied to secure IT systems." by Jacobs Edo"Regulators will need to get more involved if we are to have trust and transparency in AI, regardless of what type of use case. The same way we look for star ratings in travel, food grade levels, LEED levels for green housing, buyer/seller rating on eBay, pharma testing before drugs go on market, etc" by Falguni Desai Key Point Overall security concerns with AI Implementations Key Takeaways "Cybersecurity is a serious concern and it looks like NO one is yet able to fully secure their digital assets. We have seen hackers, often acting on behalf of countries, are able to penetrate almost any corporation or government." by Jay Dwivedi"or all applications, a risk:benefit analysis needs to be completed. Sometimes, with a low-risk impact, the AI solution should be allowed to make the optimal decision. For highest risk scenarios, it should be limited to making a recommendation, with justification, for a human to confirm and use." by Sandy Bish"The biggest use case is AI for connected devices. We have done a blockchain based IOT enabled farm to consumer platform using AI. Have seen some security issues during the integrations especially where the connectivity is not proper in remote villages and provides threat to hacking in wifi devices." by Anand V Key Point Some other Key AI based observations Key Takeaways "The challenge in governance may be the definition of boundaries. Where does "analytics" end and AI begin?" by Jack C Crawford " I don't see enough discussion or clarity regarding how AI will be insured. There have been dangerous incidents involving robots and as they become more autonomous with AI, their ability to make decisions will evolve, but when things go wrong, who will pay?" by Falguni Desai"For autonomous vehicles, testing every permutation isn't feasible; this drives improved simulation testing, which will have payback in other industries. Initially, the driver, who should be verifying vehicle behavior will hold some liability....which may cause many drivers to avoid the technology" by Sandy Bish