Over the last twelve months, generative AI has made incredible strides, evolving from a novel technological toy to a cornerstone of business innovation. From natural language processing (NLP) breakthroughs to advanced machine learning models, AI is now driving transformative change across every industry. With 2024 already shaping up to be another pivotal year for AI, businesses must stay ahead of the curve by embracing these technologies to remain competitive and agile.
In this retrospective, we take a look at some of the top performing AI topics from the past year, from Snowflake Cortex’s transformation of workflow automation, to how LLMs are opening new possibilities for document management and knowledge sharing, to AI-powered query optimization making data more accessible and actionable for stakeholders in every industry.
1. Snowflake Cortex Features That Will Change the Way You Work
As companies increasingly rely on real-time data processing and machine learning (ML) to drive decision-making, Snowflake Cortex offers tools that streamline complex workflows, automate processes, and enable more efficient data usage.
This article dives into a handful of Snowflake Cortex features that are poised to change how teams interact with and process data. It highlights tools like Snowpipe, which automates data ingestion, and Cortex’s ability to support NLP (Natural Language Processing) and ML models, providing teams with deep, actionable insights. The blog also discusses how these features allow organizations to not only streamline their workflows but also enhance collaboration across departments, improve customer experiences, and ultimately make more informed decisions.
2. How a Large Financial Services Company is Using LLMs to Rethink Document Management
Even in a digital age where physical archives and rows of filing cabinets are mostly a thing of the past, enterprises in virtually every sector depend on the ability to quickly retrieve, analyze, and act on information stored in legal documents and other resources. As these businesses grow, so does the sheer volume of documents they need to contend with, often to the point of rendering traditional document management methods obsolete.
LLMs, with their ability to understand and generate human-like text, present an innovative solution to streamline document handling, automate workflows, and improve organizational efficiency. This blog takes a closer look at one company’s journey to develop a legal review process that leverages these capabilities, examining at length how LLMs can revolutionize tasks like document classification, summarization, and content extraction, creating more intelligent and responsive systems for managing unstructured data.
3. Meet the New Sigma Features: Sigma & Hakkōda Announce Snowflake Native App
At Hakkoda, we believe that one of the chief ways generative AI is transforming data practices is through its ability to power self-serve insights through natural language queries and other intuitive, interactive user experiences. This user-first ethos resonates with Sigma’s cloud-based Business Intelligence (BI) platform, which has gained popularity for its user-friendly, spreadsheet-like interface that enables teams to easily analyze data without needing deep technical expertise.
This blog explores how the latest updates to Sigma are channeling AI to further enhance its capabilities, particularly in areas like data visualization, collaboration, and automation. The article emphasizes how these new features allow users to seamlessly interact with their data, enabling faster decision-making and more effective insights across teams. It also speaks to how the Sigma BI Analyst by Hakkoda uses AI to help organizations quickly and effectively audit their legacy BI systems, saving them the hassle of a lengthy manual review process and helping them decide whether migrating to Sigma makes sense for their business needs.
4. Leveraging AI for Enhanced Query Optimization
Organizations in every industry rely on data-driven insights to make informed decisions, but ensuring the up-to-the-minute accuracy and availability of that data hinges on the optimization of query performance.
This blog discusses how AI-powered techniques are transforming traditional query optimization methods, allowing businesses to run more efficient queries, reduce processing times, and improve the overall performance of their data environments. By integrating AI into the optimization process, companies can now automatically adapt query strategies based on changing data patterns and user needs.
5. Transforming Reporting Efficiency: How a Fortune 500 CPG Company is Rationalizing Reports with AI
Reporting bloat and data sprawl are two major challenges organizations inevitably face as they accumulate more and more information. As that sprawl sets in, meanwhile, traditional reporting methods often struggle to keep up with the increasing demands for speed, accuracy, and actionable insights.
This blog follows one Fortune 500 company’s journey to transform its reporting from the bottom up, leveraging generative AI’s ability to parse large volumes of information in a fraction of the time to pave a road for other organizations looking to improve decision-making, boost productivity, and respond more quickly to changing business needs.
It’s Time to Get Serious About Your AI Strategy
The growing momentum around AI in 2024 highlights the rapid evolution of innovative use cases and strategic automation across industries. As AI continues to drive transformative change, leaders are exploring how advanced technologies can optimize operations, enhance decision-making, and unlock new efficiencies.
If you’re eager to discover more about the latest AI trends and how they can drive impactful outcomes, visit our AI Solutions page. Alternatively, you can reach out to kickstart your hard-hitting AI integration today.
