4 days, 21 hours ago-
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Today we released an exciting new suite of connectors for OpenAI, including automation connectors and real-time analytics integration, enabling users to request and embed generative AI content directly in their analytics experience.
With this capability, users can take advantage of the rich content offered by generative AI in a variety of ways, such as augmenting analytics with natural language insights from OpenAI, synthesizing and combining third-party data into existing data models, and allowing users to ask questions in real-time using data from Qlik.
These connectors represent the next evolution of our augmented analytics journey, which began in 2019 with the introduction of AI-driven insight generation and natural language interaction. We now natively support fully interactive search, chat, and NLG on internal data in 11 languages, and our Analysis Types capability offers a unique form of generative AI allowing users to create advanced analyses such as a clustering, forecasting, period-over-period, etc. in a few clicks – complete with AI generated visualizations and NLG. Now with the inclusion of generative AI, we continue to lead the way with augmented analytics that leverage the power of OpenAI to expand context, driver broader insight, and engage with more users.
The analytics connector constructs and sends questions to OpenAI in real-time, which processes and returns narrative output and/or tabular data. Questions can be defined by the app developer using expressions in the load script or a sheet object, or entered by a user through the user interface, and can include data from the Qlik application as defined by selections. As opposed to large, expensive batch queries, our associative engine allows users to make selections and send small subsets of data to OpenAI in real-time, offering the most up-to-date, contextually relevant insights and answers and minimizing cost. And organizations can use this same power directly in their business process and automation workflows with our new OpenAI Connector blocks in Qlik Application Automation. The new Qlik Application Automation OpenAI Connector can be configured to send questions that return results and write back into business processes and/or source systems.
These connectors support a variety of use cases such as data ops, sales, marketing, customer support, and more. And this is only the beginning. With our open platform approach, we are providing customers and partners with the tools to innovate around generative AI, to take advantage of the many possibilities for driving even more value from our platform. And, our customers maintain complete governance and control over the relationship with OpenAI, including the data they send and how they choose to use it within our platform.
We look forward to hearing about how you’re utilizing these connectors to incorporate generative AI into your analytics experience. If you want to give us feedback or suggest new product capabilities, feel free to visit our new ideation portal.
How to define ML endpoints that is mentioned in step by step Open AI to be done in management console?
BTW, I’ve been working on a similar setup and found that passing the context window correctly to the model makes a big difference. If you’re generating responses that sound too generic or robotic, try refining your prompt structure. I also ran some test comparisons using https://humanizerai.com to get more natural-sounding replies, and the contrast really helped me figure out what to tweak.
Bonuses are fun, sure, but who’s handling the legal risks when someone brings in a friend? We plugged in legal marketing review software not to persuade, but to track legally vulnerable phrasing, structure our content, and prep for any potential disputes with clients. When a single sentence includes percentages, timelines and “you’ll receive” without solid legal grounding, it’s basically a ticking time bomb. One time a client insisted their “referral” promised $147 for a single mention — and we had to take it to arbitration. How do you handle these grey zones? Who vets the offers before they go live?
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