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Agriculture App Development in 2024 - A talk of a new era!

From ancient times to infinity, there is that one industry among many others, that has not lost its significance and never will-which industry are we talking about here? Well, it’s the Agriculture Industry. Yes, the Agriculture sector, like farming, which has existed since the dawn of humanity, is no longer considered as traditional and conservative as it used to be.

Top IoT Trends in 2024 and What IoT Holds for the Future?

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

Best Flutter Libraries and Types to look after in 2024

You definitely must have heard about this one term fluttering in the air: ‘Flutter’. Flutter, a relatively new mobile app development framework, has been gaining a lot of popularity among mobile app developers in recent years. Don’t you agree? But why is that so? Are other frameworks not up to the mark? Or is it just the simplest and ever-evolving tech stack?

Top IoT Trends in 2024 and What IoT Holds for the Future?

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

How does blockchain technology help organizations when sharing data?

Why is data important, you ask? And, how does blockchain technology help organizations when sharing data? Well, in today's fast-paced world of technology, staying ahead of the game is crucial for businesses. To do that, you need a deep understanding of your product, market, and competition. And that's where data steps in - it's the crucial element that can make all the difference.

Data Actionability: Speed Up Analytics with Unravel's New Data Engineering AI Agent

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.

4 Ways Gen AI Can Help Brand Advertisers and Ad Agencies Engage Consumers

Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.

Watermark Alignment Explained in 2 Minutes | Apache Flink in Action

Watermark alignment is a relatively new feature in Apache Flink. It lets you cope with the problem of needing to temporally join streams with mismatched event frequencies, e.g., one stream’s updates are much more frequent than those of the stream(s) with which you need to join it. In this video we’ll break the feature down, and relate how it can help you better manage your Apache Flink integration.

The AI Gateway Pattern: Adopt AI and Multi-LLM Strategies in a Secure and Governable Way

The AI Gateway Pattern enables organizations to adopt and securely govern AI technologies like large language models (LLMs) at scale. Acting as a centralized control plane, it streamlines data flow into AI models, ensures proper data handling and compliance, and simplifies the management of multiple LLMs. This architectural pattern empowers organizations to leverage AI’s strengths while mitigating risks, maintaining performance, and adapting to evolving technologies.