Natural language processing (NLP) is a discipline where machines are built with the main aim of manipulating human language or data resembling human language in the manner it is written, spoken and organized.
It has originated from computational linguistics that makes use of computer science for understanding the principles of language. However, more than simply developing theoretical frameworks, NLP an an engineering discipline aimed at creating technology for accomplishing tasks that are useful. NLP is utilized quite often with speech recognition which is focused at parsing spoken language into words, converting sound to text and vice versa. Most NLP tasks translate human text and voice data in a way that it helps the computer in interpreting what it is taking in.
In this AI Leadership Insights video interview, Amanda Razani speaks with Demi Ben-Ari, CTO and co-founder of Panorays, about the privacy and security concerns business leaders face with the use of AI.
Amanda Razani: Hello, I'm Amanda Razani with Techstrong.ai and I'm excited to be here today with Demi Ben-Ari and he is the CTO and Co-founder of Panorays. How are you doing today?
Demi Ben-Ari: Doing great, Amanda. Thank you for having me.
Amanda Razani: Happy to have you on our show. So can you explain to our audience what is Panorays and what services do you provide?
Demi Ben-Ari: Sure, of course. Okay. The grand scheme of things is we're doing third-party cyber risk management, and if going to particular use cases and how we're implementing that with our own customers, we've created a SaaS platform that covers from end-to-end, the whole portion of auditing any third-party entity and covering continuous monitoring on these aspects. Why am I saying the term third-party?
In this AI Leadership Insights video interview, Scott Anderson, senior vice president for product management and business operations for Couchbase, explains how generative artificial intelligence (AI) will transform how databases are managed and the way applications are built and deployed.
Mike Vizard: Hello and welcome to the latest edition of the Techstrong.ai video series. I'm your host, Mike Vizard. Today we're with Scott Anderson, who's senior vice president for product management at CouchBase, and we're talking about how copilots in the form of generative AI are going to change the way we think about managing databases. Scott, welcome to the show.
Scott Anderson: Thank you very much, Mike. It's great to be here with you today.
Mike Vizard: You guys have launched an offering in this space. I'm going to let you describe how it works, but essentially we're bringing all the joys of copilots to databases, and that's going to, I assume, make things more accessible for all kinds of folks, and maybe I don't have to be such a tremendous database wizard to manage all this stuff, and we'll see what the implications of that are from here. Scott, dive in, what exactly are you guys doing here?
Artificial Intelligence (AI) is not merely a technological marvel; it's a strategic catalyst reshaping the business landscape. As we step into 2024, businesses are presented with unprecedented opportunities to leverage AI in transformative projects. In this article, we explore cutting-edge AI project ideas poised to revolutionize businesses and drive innovation in the year ahead.
Predictive Customer Analytics:
Leveraging AI-driven predictive customer analytics transforms business outcomes. Through machine learning algorithms, businesses analyze extensive datasets, predicting customer behaviors, preferences, and trends. This insight empowers personalized marketing strategies, elevates customer experiences, and amplifies overall satisfaction, positioning businesses at the forefront of customer-centric innovation and success.
Just as advances in artificial intelligence have given rise to tools for improving productivity and business, they are also making it easier for cybercriminals to carry out their evil deeds. While scams and online theft are nothing new, they are constantly changing, and with the advent of advanced AI tools, especially generative AI, we are seeing a new slew of threats to avoid.
As revealed by ExpressVPN in its comprehensive overview of the online scam landscape in 2024, AI plays a big role in how threats are shaping in the coming year.
From the Biden robocall to the Taylor Swift deepfake, here is everything you need to know about AI scams in 2024.
Enterprise AI Market Prediction: The landscape of artificial intelligence (AI) in the business world is poised for an unprecedented surge, with the Enterprise AI market projected to skyrocket from US$14.77 billion in 2023 to US$72.35 billion by 2028, with a CAGR of 37.42% over the forecast period. This meteoric rise is propelled by a confluence of factors reshaping industries across the globe.
Digitalization Across Industries
One of the primary catalysts for the exponential growth of the Enterprise AI market size is the relentless wave of digitization sweeping through diverse sectors such as healthcare, finance, retail, and logistics. Enterprises are increasingly embracing AI solutions as integral components of their digital transformation initiatives. AI technologies are harnessed to streamline processes, elevate decision-making capabilities, and gain a competitive edge in the rapidly evolving business landscape.
Ongoing supply issues with semiconductors mean IT departments may have to wait up to a year for the latest hardware
Analyst Forrester has urged IT decision-makers to curb their enthusiasm when it comes to artificial intelligence (AI) to avoid being caught out by a shortfall in semiconductors.
In its Surviving the global chip shortage report, Forrester recommended that IT leaders moderate their AI ambitions. 'Moderation seems like heresy in the current AI-drenched tech environment, but you might have no choice,' the authors of the report warned.
Forrester pointed out that AI requires immense compute capacity, with a big emphasis on graphics processing units (GPUs). The report noted that cloud providers and large system providers have struggled to acquire enough GPUs, which means enterprise IT buyers may have to wait up to a year to get what they need.
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