Real-time data and gen AI: the perfect formula to supercharge your decision-making
Sponsored by StriimGain a competitive edge by leveraging real-time data for faster, more precise decisions
Life happens in real time – and so does business. Companies and consumers expect service, answers and actions without delay. Across business scenarios, be they omnichannel consumer environments, supply-chain decision-making or life-saving medical situations, real-time data facilitates informed decision-making and increases customer satisfaction.
The advent of real-time streaming is transforming real-time generative AI (gen AI) outputs, changing the mechanics behind business operations and automations. Gen AI and large language models (LLMs) fed by streaming data are resulting in new ways to extract value from real-time data.
What’s new is the combination of real-time data streaming with intelligent integration, processing the data as it streams in a matter of split-seconds as data flows. This provides the high-quality, real-time inputs that generative AI models need to deliver actionable insights and drive smarter automation. However, any model is only as good as the data it’s fed. The old adage of “Garbage in, garbage out” is as true today as it was in the early days of computing. Streaming data is increasingly recognised as a powerful way to get good, accurate and monitored data into your systems and gen AI tools. Intelligent data streaming is the future of AI.
Data is the fuel for generative AI
Organisations manage vast amounts of data from CRM systems, ERP implementations, IoT devices, legacy systems and various other sources. With intelligent streaming, data from multiple sources can be cleaned, merged, deduplicated and modelled in a split second as it’s ingested. In the blink of an eye, data is processed with Streaming SQL and AI, then delivered to an agile cloud environment.
Streaming guarantees that what was sent was delivered. The resulting value from data is transformed due to the volume and intensity of high-quality perpetual, real-time data feeding. This modern approach allows organisations to outpace their competition, who may be relying on outdated batch processing and extract, transform and load (ETL) approaches.
Google Cloud integrates the power of Striim
Leading the way in this space is the partnership between Google Cloud and Striim, who are working together to extend the capabilities of BigQuery. Striim and Google simplify the process of getting data into BigQuery ML in real time so that businesses can create powerful models quickly and cost-effectively.
Striim is a data integration and streaming platform, built on SQL, with the capability to both stream and transform data in real time, allowing better business insights by enabling companies to derive value from their current and legacy data to drive ethical AI using gen AI and LLMs. This capability is the reason behind the strategic partnership between Google Cloud’s BigQuery and Striim.
Delivery firm UPS has leveraged this transformative partnership to combat package theft, protecting 690,000 shippers. “At UPS, we’re reshaping the shipping landscape by prioritising lower premiums and improved convenience for our customers,” says Pinaki Mitra, VP of Data Science & Machine Learning at UPS Capital. “Opting for high-confidence shipping addresses not only slashes costs but also assures customers of dependable and secure deliveries, empowering them to shop online with confidence and ease. Striim and Google Cloud have jointly enabled us to enhance the customer experience with AI and ML.”
Thanks to combinations of CDC and automated processes, Striim enables faster deployment of machine-learning models, allowing organisations to take full advantage of these technologies without incurring high costs or long delays.
“Striim ships with built-in AI features for AI model integration in the data pipeline and is at the forefront of artificial intelligence and machine learning with our industry-leading data integration and streaming platform,” said Alok Pareek, Co-Founder and Executive Vice President of Engineering and Products at Striim. “We are proud to be featured in BigQuery’s ‘Add Data’ button for frictionless deployment and integration with BigQuery’s machine learning capabilities.”
The real-world business benefits of real-time data
Real-time data sourcing, automated AI and ML, and the clean-speed-feeding of data science tools are delivering never-before-seen benefits to businesses across industries.
Retailers leverage this to deliver hyper-personalised services to customers, understanding and anticipating their needs. They can deliver targeted promotions the moment customers arrive in the store or online. They can also ensure stock levels align to demand, resulting in a more satisfying experience and more loyal customers. And when those customers use a credit card for a purchase, the financial institution processing that transaction can analyse data at the transactional level, cross-referencing it with the customer’s history in real time to enhance fraud protection.
Another sector benefiting from these technologies is the aviation industry. Airlines use the data from flight recorders and intelligent systems to identify real-time solutions for preventative maintenance. It also has healthcare applications. Healthcare providers use Striim to share patient records with insurance providers in real time while protecting the privacy of that data. Any personally identifiable information (PII) can be obfuscated within the Striim data stream. Additionally, utility companies use real-time and historical data to better balance loads on the electrical grid. The range of use cases is extensive and continually growing.
Striim: powering Google Vertex AI
While data science is advancing at an impressive pace, the effectiveness of LLMs and gen AI is significantly influenced by the speed and quality of data preparation within organisations. Striim and Google are rapidly advancing the art of the possible, turning innovative concepts into tangible realities. “At Striim, we strive to work with the most innovative partners and enjoy a very close partnership with Google Cloud,” said Nadim Antar, Chief Revenue Officer of Striim. “We collaborate with various Google teams, helping their most strategic customers leverage the power of Google Cloud even further, by driving real-time data into real-time decision-making.
“This is the power of ‘Striiming’ your data, not just streaming it. Any business, in any industry, on any platform, can benefit from that power.”
To learn more, visit Striim or email sales-emea@striim.com – we’d love to hear from you.
Business Reporter Team
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