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3 key trends for 2023: Low code/no code, generative AI and the evolution of programming

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Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. This year we will continue to see changes in the tech industry. As we have been preparing for a fundamental in how we work, technology plays a major role in how employees and companies can operate better, smarter, more efficiently and more productively. More than that, tech is a key player in how employees can connect with one another to create a truly collaborative work environment. There are three major areas where we will see a shift across tech.


8 crazy AI tools saving hours of work, you've never heard of.

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At code.store, we build amazing products for our clients using the most advanced technologies: Low Code, No Code, Blockchain, AI, and Cloud native functions. Ping us if you need help! Those 8 tools are helping our clients to reduce the tremendous workload of their teams, we wanted to share them. Jasper and Copy.ai are used by marketers and SEO experts to produce AI-generated content. But the writer's experience is terrible.


Tech predictions for 2023 - AI/ML, cyber security

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As Steve Jobs said – 'Let's go invent tomorrow instead of worrying about what happened yesterday.' Advancements, inventions, and improvements in the technology world is progressing at breakneck speed. It takes a lot for our modern workforce and enterprises to keep up with the pace of technology. Geo-political and macroeconomic factors have an impact on tech trends as well. At this very moment, certain economies around the world are either in a state of recession or on the path of slowdowns.


Global Big Data Conference

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Startup Kore.AI Inc. said today it's making its "low code" conversational artificial intelligence tools available on a pay-as-you-go basis, expanding their availability to smaller businesses. Backed by Nvidia Corp., Kore.AI offers tools that can be used by companies to easily build AI chatbots or virtual assistants for customer support. The key thing about its tools is that they're low code, meaning users can build chatbots and AI assistants using a visual dashboard, with minimal coding required. That helps companies that lack expertise in AI to build chatbots quickly that can be embedded into their websites or applications, so they can deal with common customer queries. Kore.ai says its Experience Optimization Platform can be applied to various use cases.


'Citizen Developers' Create AI Apps With These New Tools

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Hordes of companies are remaking how they do business to stay relevant in a technology-driven world. But hiring great software engineers who can pull off a digital transformation or artificial intelligence project is hard. Enter a growing legion of "citizen developers," empowered by companies like Microsoft, Google, Amazon, Salesforce and ServiceNow. These ordinary business people create apps using software that technology companies call low-code or no-code software development tools. To use these tools, all you need is a web browser.


#56 Will low-code replace my existing Developers? The Low Code Audience Q&A Episode - The Automation Guys

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Sascha: Welcome back to another episode of The Process & Automation podcast, with The Automation Guys. In today's episode, we will go through a list of questions, questions we often get asked by our audience, on the topic of low code. And hopefully with our answers on these questions, we can break down some of the technical blur which is associated with our industry and automation. So let's kick it off with the first question we have received, um, yeah. Arno, do you like to take the first one?


Will AI Lead the Way in Low Code/No Code App Development?

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In the span of a few years, low-code and no-code platforms, which reduce the burden on professional developers to create certain apps, have matured vastly. They have become resources large enterprises increasingly explore to speed up app development, but can that carry over to new, more intensive needs such as AI app development in a substantial way? Gartner predicts that by 2025, some 70% of new apps developed by enterprises will use low-code or no-code resources. In 2020, less than 25% of new apps were developed through such means at enterprises. Further, Gartner also projects 75% of large enterprises by 2025 will use at least four low-code tools for IT app and citizen development.


Human Experience in the Age of AI

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Human Experience in the Age of AI  I am always long on ‘and’, and short on ‘or’. That is, I’m convinced, with high conviction, that there are infinite possibilities and a brighter future when Humanity and AI coexist - this opposed to the other more precarious scenario where we are subservient to our


Top 5 reasons low codes can boost artificial intelligence - Techiexpert.com

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Artificial Intelligence is a high technology niche of computer science that requires hard work, vast technical knowledge, and experience. But Low code has made it much easier for non-professional developers to integrate Artificial Intelligence easily with their latest and newest technologies. Low code AI has changed the particular mindset of AI product development by providing simple, easy to use and intuitive solutions. The emergence of the low code AI development platform offers a readymade building block for building AI solutions, in which users can use the Graphical User Interface (GUI) and configuration to build apps in a few hours. The time-saving and cost-saving parameters are indisputable; along with that, it offers enterprises flexibility by hassle-free customization of applications. Low code Artificial Intelligence allows non-AI developers to create AI apps from predefined components.


Will AI Make Coding Obsolete?

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Coding has become a critical skill for many jobs. Some countries and schools are even considering coding languages to be an acceptable form of a foreign language. In the midst of all this, the nature of code is changing dramatically. Low-code and no-code platforms are demonstrating aggressive growth and making it possible for individuals and organizations to create powerful production applications with relatively small amounts of what would traditionally be called coding. The next step in this trend is AI generating code, as recently demonstrated by Open AI Codex and Github Autopilot.