The world of data is constantly evolving, and in 2022, we can expect to see some interesting trends in data analytics, data management, and all that follows. What roles will data play next year? And, what should you do to set up your company for success?
Here are just a few of the emerging data trends we can expect to see in the next year.
Small Data and TinyML
Forbes predicts that in 2022, we will see an increased focus on “small data“, which refers to collecting and analyzing large quantities of precise data. While this might seem counterproductive at first glance, small data is becoming more and more important with the advent of artificial intelligence (AI). tinyML.
TinyML is a software framework that uses traditional machine learning algorithms to process small data sets. TinyML can be used to improve the speed and accuracy of AI models, and it is particularly well-suited for mobile devices
Applications that use TinyML will be able to process data quickly and accurately, even on limited hardware resources. This will make tinyML an essential tool for businesses that want to take advantage of machine learning without breaking the bank.
Generative Artificial Intelligence
Gartner expects to see the widespread adoption of generative AI in 2022. In a nutshell, this technology uses machine learning algorithms to generate new examples from existing data sets.
Some of the applications of generative AI include:
- Automated content generation – Generating new articles, blog posts, and other content on demand.
- Fraud detection – Generating new account registrations and other data to help detect fraudulent activity.
- Design generation – Automatically creating new designs for products, websites, and other applications.
Distributed Cloud Infrastructure
It’s no secret that the cloud is becoming increasingly distributed. It is expected that most businesses will have moved away from a single-cloud infrastructure and will be using a variety of cloud services from multiple providers.
This distributed cloud infrastructure will allow businesses to take advantage of the best features offered by different providers, while also avoiding vendor lock-in. It will also make it easier for businesses to scale their services up or down as needed.
The use of distributed cloud infrastructure can benefit businesses of all sizes and help to further accelerate the move away from traditional data centers and towards the cloud.
A combination of machine learning, artificial intelligence, and predictive analytics, decision intelligence allows businesses to make automated decisions based on past data.
One of the greatest benefits of decision intelligence is that it can help businesses to reduce the time and effort needed to make decisions. It can also help to minimize human-made mistakes by helping users to recognize patterns in the data.
Data Lineage for Explainable BI
Analytics users often struggle to explain their data, and fragmentation has made the problem worse. Data lineage can help solve this problem. Data lineage is essentially an audit trail that follows the data from its origin point through any transformations, storage locations, and applications where it might be used.
Data lineage allows users to demonstrate ownership over data, which increases transparency and helps to prevent disputes that could threaten collaboration across departments or between internal teams and external partners.
To stay ahead of your competitors, make sure to equip your company with the latest BI and data analytics solutions. If you’re unsure where to start, HICO-Group can show you the way.
Are you looking to transform the way your organization handles data? Whether you are building a data-driven enterprise from scratch, improving existing KPIs, or still trying to connect the dots, we are the team of business intelligence experts in your corner.
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