If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
I recently announced that I would no longer be actively maintaining audiobridge and would be sunsetting the app on December 31, 2022 after over five years of work. With this announcement, I had conversations with many people about a potential acquisition of the company. I felt that there still is nobody that truly understands what is possible in the field of mobile music/audio creation and the ramifications it would have for many other industries. I will not be selling. After quite a bit of reflection, I have decided to not sunset the app although it will continue to be largely unmaintained for the foreseeable future.
Summary: Autonomous driving is a hot topic that has gained immense popularity -- but is it an actual concept. If yes, what are the probabilities that it brings along as it sounds oxymoron? Let's understand the challenges of autonomous driving and how agile technology can play an important role in bringing this concept to reality. Autonomous driving is a new concept, and everyone is excited to know about driverless vehicles. The technology is undergoing testing in several areas; the picture is not clear yet. Autonomous vehicles rely on sensors, machine learning systems, artificial intelligence technology, processors, and complex algorithms.
Welcome to the InfoQ podcast Annual Trends Report in AI, ML and data engineering topics. I am joined today by the InfoQ editorial team, and also an external panelist. There have been a lot of innovations and developments happening in AI and ML space. Before we jump into the main part of this podcast, let's start with the introductions of our panelists. Rags, can you please introduce yourself? Rags Srinivas: Glad to be here. I was here for the previous podcast last year as well. So, things have changed quite a bit, but I focus really mainly on the big data infrastructure and the confluence of that. So quite a few developments happening there that I'd love to talk about when we get there. Myself, I work for DataStax as a developer advocate, and essentially, again, it's all about data, AI, infrastructure and how to manage your costs and how to do it efficiently. And hopefully, we'll cover all that. I'm Roland, I'm a machine learning engineer, and I hope to talk a lot about transformer models and large-scale foundational models. For InfoQ, I like to write about some of the latest innovations in deep learning, and definitely want to talk about NLP and some of the multi-modal text and image models. Srini Penchikala: Next is Daniel Dominguez. Thank you for the invitation. I like to write about the metaverse, new technologies, deep learning.
I should like the 1973 film Soylent Green. Actually, I should love it. The movie deals with issues that are even more important now than they were 50 years ago. And as someone who's spent plenty of time exploring the connections between sci-fi films, technology innovation, and the future, I feel a certain professional obligation to sing its praises. Instead, though, I find myself frustrated by the movie and its hyperbolic and naive handling of complex themes.
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! While many other industries are battered by high inflation and slowing growth rates, the market for software sophisticated enough to communicate digitally with humans isn't slowing down. Referred to as chatbots, global demand for these virtual humans is projected to grow by nearly 500% between 2020 and 2027 to become a $2-billion-a-year industry, according to new market research. Today, the use of these digital assistants and companions is already widespread.
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! With more and more of our lives spent online, it's no wonder today's headlines are rife with stories that sound like science fiction plot lines blurring the lines between human and computer. Earlier this year, a Google engineer voiced concerns that its chatbot model LaMDA had become sentient. Shortly after, the head of global affairs for Meta published a lengthy article about the impactful experiences that immersive technology makes possible, which featured an image of a man playing chess with a humanoid hologram -- implying technology can generate and replace that kind of human-to-human experience.
In my last two posts, I've defined what composable banking is and its potential scope. In both these posts, I've highlighted BIAN as a way of defining the composable modules. One thing I'd like to add though is that BIAN represents the business model of banking first and then how it can be supported by technology. It's not about the modularisation of software components that can be easily interchanged, it is very much about creating flexibility and agility in banking by creating a canonical representation of the business of banking. The biggest challenge for any bank is how do they reach such a vision of composable banking when over decades of investment in technology automation they have hundreds or thousands of systems, with some sharing data through extraction, some integrated through technical bridges and maybe a few more modern solutions through APIs?
Legal Considerations for PropTech Startups Below we will highlight some legal considerations that proptech startups should begin to pay attention to as this can either make or mar their potential to scale and reap the benefits that technology has provided in the property and real estate space. New types of contract -It is cliché to say that the real estate sector is undergoing a tremendous digital change. With the advent of smart buildings, real estate fintechs, the use of digital printing, robotics, drones, property management solutions, a shared economy which is always ready to match users of space with sellers through digital platforms and other technical innovations. It goes without saying that there will be a need for smarter contracts different from the legacy property agreements. There will be a need for legal agreements that can inclusively cover technologies such as AI, IoT, Data protection clauses, intellectual property concerns, blockchain and other innovative augmentation that proptech will require to deliver on its promises. Data protection - As with the majority of emerging technologies, the use of data in the property tech space is inevitable.
GoTo, the all-in-one business communications and IT support and management platform, announced the promotion of Paddy Srinivasan to President and Chief Executive Officer. In his role as Chief Product and Technology Officer, Srinivasan has been a driving force behind GoTo's recent transformation, and platform unification. He succeeds Board member Mike Kohlsdorf, who has served as CEO since January. "Paddy has played a pivotal role in building GoTo's vision to make IT easy and the associated innovation of GoTo Connect and GoTo Resolve to enable SMB success," said Kohlsdorf. "Paddy and I have worked in close collaboration for several years, and I believe he is uniquely positioned to see GoTo through this pivotal moment of accelerated growth and product innovation."
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Within the last decade, the terms artificial intelligence (AI) and machine learning (ML) have become buzzwords that are often used interchangeably. While AI and ML are inextricably linked and share similar characteristics, they are not the same thing. Rather, ML is a major subset of AI.