Big Data & AI World spotlights latest data tactics

Big Data & AI World – one of five co-located events contributing to this year’s Tech Show London – promised attendees a lively exhibition space and organizers have once again come up with some ideas. We live in a digital age where information and expertise can be accessed with a few mouse clicks or keystrokes. But nothing has managed to replicate the benefits of meeting industry leaders in person. It’s an opportunity to quiz developers on how best to use the latest tools for your business and quickly spot trends. Walking through the Big Data & AI World exhibit floor, it was clear that visitors were keen to learn more about the latest data tactics, and we’ll break down why.

Big data, big market

Tiger Analytics, which works with several Fortune 500 companies and attended this year’s show, reminded attendees that there’s a lot to do with data. The Company can assist clients with marketing analysis, customer analysis, risk analysis, and operations and planning. And an immediate realization of the booth was the breadth of what can be achieved with the latest big data and AI solutions. For businesses, data insights are undeniably a good thing. However, as more companies leverage the power of machine learning and artificial intelligence (AI) tools to quickly extract trends from their business information, the markets have become more competitive.

Looking at industries, the food and beverage industry has always been very competitive and today manufacturers have to work harder than ever to stay on top. Traditionally, promotions have been key to catching the attention of shoppers, but as conventional wisdom converges, businesses need to think differently. Some of the latest data tactics focus on personalization and leveraging market data to stay ahead of the curve. For example, Tiger Analytics helped one of its European food and beverage clients predict emerging flavors and ingredients for 2 million product launches across 75 countries.

Thoughtspot, another exhibitor at the London-based show, emphasizes the increased performance of using AI tools to extract insights from your data stack. According to the company, AI-powered analytics can help users identify trends and answer business questions 10 times faster than traditional methods. In the case of Thoughtspot, users don’t have to code their queries, just type them into a Google-like search interface to pull information from Snowflake, Google Big Query, Amazon Redshift, Databricks, and other data warehouses.

Avoid ETL slowdowns

An efficient database is the key to quick access to business intelligence. And another of the latest data tactics is the ability to quickly visualize information without having to go through time-consuming extract, transform, and load (ETL) processes. MongoDB, which had a busy booth at Big Data & AI World, offers developers the opportunity to use its Atlas Charts visualization tool, which is natively integrated with the company’s Atlas multi-cloud developer data platform. The benefit for Atlas users is that they can extract data from their documents and collections and create charts, maps and other visualizations without having to move or duplicate source information.

We’ve touched on personalization in the food and beverage industry, but it’s a trend elsewhere too. Treasure Data, also based in London, helps companies build a customer data platform – a unified database that connects to a wide range of sources and systems across a customer’s operations and centralizes customer information. And with all the information in one place, marketers can create comprehensive customer profiles and optimize future customer experiences. In addition, this detailed customer knowledge also helps other areas of the company, e.g. B. Design teams.

Automaker Subaru first used its customer data platform to segment audiences and identify buyers who may be looking to upgrade their vehicles soon. But as Treasure Data – who worked with Subaru on the project – explains, the vehicle manufacturer quickly realized there was a lot more that could be done with the data. “Now Subaru uses post-sales customer data and predictive analytics to develop new products and services that generate revenue and strengthen customer loyalty,” writes the customer data platform solutions provider.

Data Governance and Security

With customer data comes the need to comply with privacy laws. And navigating to Onetrust’s regulatory page is a quick way to determine required compliance. When asked to name data governance laws, most stakeholders would likely respond with GDPR, California Consumer Privacy Act, HIPAA, and PCI DSS. But could you name all 24 entries listed by Onetrust? The rise of privacy regulations shows why many developers are choosing to use platforms offered by Onetrust, another exhibitor at Big Data & AI World, and others. Reducing the complexity associated with data governance is another notable data tactic employed by leading organizations.

When data governance platforms offer a helping hand, developers can focus on building core functionality. But managing the software development lifecycle (SDLC) can still require some contention. And although the provided solution works, is it secure? Dazz, which offers customers a cloud security repair service, was on hand at the event to highlight the do’s and don’ts. And in case you missed the show, Matt Brown – Senior Solutions Engineer – at the company wrote down the advice in a practical guide to building a secure SDLC.


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