April 15, 2024

Generative AI Strategy For Enterprise

The guidelines to align with enterprise business Initiatives. Identify the business challenges that require attention. Also, understand the business benefits of AI adoption that are critical for the success of enterprise. Select the targeted use cases and perform the Proof of Concepts (POC) that can deliver desired business and operational outcomes. AI use cases should not be viewed in isolation. AI initiatives and technology should be integrated into existing business processes and workflows to optimize and streamline them. Build value through improved productivity, growth, and new business models. ... Prioritize GenAI usecase initiatives based on highest potential value and feasibility to execute. Implement model development lifecycle that includes products and services, rigorous testing, validation, and documentation. Build Roadmap that provides a plan to deliver the identified GenAI applications by prioritizing and simplifying the actions required to deliver identified initiatives. Create processes for ongoing monitoring and auding of GenAI systems for responsible use of AI to ensure compliance with legal, ethical standards and algorithmic biases.

Do cloud-based genAI services have an enterprise future?

“Given the data gravity in the cloud, it is often the easiest place to start with training data. However, there will be a lot of use cases for smaller LLMs and AI inferencing at the edge. Also, cloud providers will continue to offer build-your-own AI platform options via Kubernetes platforms, which have been used by data scientist for years now,” Sustar said. “Some of these implementations will take place in the data center on platforms such as Red Hat OpenShift AI. Meanwhile, new GPU-oriented clouds like Coreweave will offer a third option. This is early days, but managed AI services from cloud providers will remain central to the AI ecosystem.” And while smaller LLMs are on the horizon, enterprises will still use major companies’ AI cloud services for when they need access to very large LLMs, according to Litan. Even so, more organizations will eventually be using small LLMs that run on much smaller hardware, “even as small as a common laptop. “And we will see the rise of services companies that support that configuration along with the privacy, security and risk management services that will be required,” Litan said.?

6 bad cybersecurity habits that put SMBs at risk

Cybersecurity can’t be addressed with technology alone and in many ways it’s a human problem, according to Sage. “Technology enables attacks, technology facilitates preventing attacks, technology helps with cleaning up after an attack, but that technology requires a knowledgeable human to be effective, at least for now,” they say. This also feeds into other problems, which are a lack of budget and no dedicated responsibility for cybersecurity. “These are significant challenges for SMBs, leaving them without guidance on compliance frameworks and a clear direction, and reliant on providers for support,” says Iqbal. ... Adopting good cyber hygiene habits should be a no brainer, although it can be a hit and miss. For instance, allowing the use of weak passwords is all too common, according to Iqbal. He’s also found instances where the default password for logins has not been changed or all the passwords for security servers are changed to a single password and there isn’t a separate administrative password. “The admin account is the most lucrative account threat actors are looking to compromise. It just takes one compromise and then the keys to the kingdom are flung open to all your potential threat actors,” he says.

Generative AI is coming for healthcare, and not everyone’s thrilled

While generative AI shows promise in specific, narrow areas of medicine, experts like Borkowski point to the technical and compliance roadblocks that must be overcome before generative AI can be useful — and trusted — as an all-around assistive healthcare tool. “Significant privacy and security concerns surround using generative AI in healthcare,” Borkowski said. “The sensitive nature of medical data and the potential for misuse or unauthorized access pose severe risks to patient confidentiality and trust in the healthcare system. Furthermore, the regulatory and legal landscape surrounding the use of generative AI in healthcare is still evolving, with questions regarding liability, data protection and the practice of medicine by non-human entities still needing to be solved.” Even Thirunavukarasu, bullish as he is about generative AI in healthcare, says that there needs to be “rigorous science” behind tools that are patient-facing. “Particularly without direct clinician oversight, there should be pragmatic randomized control trials demonstrating clinical benefit to justify deployment of patient-facing generative AI,” he said.?

State of the CIO, 2024: Change makers in the business spotlight

The push for innovation requires a steady hand, and CIOs are stepping in to provide guidance, including orienting the greater enterprise to the potential — and the pitfalls — of new technologies like AI. Eighty-five percent of respondents to the 2024 State of the CIO survey view the CIO as a critical change maker and a much-needed resource given the pace and scale of change, amplified by the frenzy around AI. “With all the hype of AI and the velocity at which technology is evolving, my focus as a CIO continuously and relentlessly has to be through the lens of strategy, execution, and culture,” says Sanjeev Saturru, CIO at Casey’s, the third-largest convenience store chain in the United States. ... “Eighteen months ago, AI was an interesting topic, but today, if you don’t have a plan to elevate experience via AI you are behind,” says LaQuinta. “We have a maniacal focus on maximizing the contribution of advanced intelligence, supported by AI. That could be making information available at the click of a button to help advisors be more efficient with their time or to serve clients better in a hyperpersonalized way.”

Cloned Voice Tech Is Coming for Bank Accounts

At many financial institutions, your voice is your password. Tiny variations in pitch, tone and timbre make human voices unique - apparently making them an ideal method for authenticating customers phoning for service. Major banks across the globe have embraced voice print recognition. It's an ideal security measure, as long as computers can't be trained to easily synthesize those pitch, tone and timbre characteristics in real time. They can. Generative artificial intelligence bellwether OpenAI in late March announced a preview of what it dubbed Voice Engine, technology that with a 15-second audio sample can generate natural-sounding speech "that closely resembles the original speaker." While OpenAI touted the technology for the good it could do - instantaneous language translation, speech therapy, reading assistance - critics' thoughts went immediately to where it could do harm, including in breaking that once ideal authentication method for keeping fraudsters out. It also could supercharge impersonation fraud fueling "child in trouble" and romance scams as well as disinformation.

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