Episode 2: How to Become an AI-Powered Organization
Trasformare l'IA da tendenza a realtà
Generative AI holds the potential to usher in a new era of productivity and prosperity.
However, the current lack of data traceability and quality control in generative AI poses a significant risk, allowing unverified data to compromise the reliability of its output. If unaddressed, this issue could exponentially endanger both business and society.
We need to find a new model that promotes better – and trusted – data. This means data that goes beyond the three classic Vs associated with big data - Volume, Velocity, and Variety - to also incorporate the two Vs of Validity and Value.
But how can we do this?
At the beginning of this year, we released Qlik’s annual 10 Trends in Data, Analytics, and AI. The purpose of these trends is to help your organization move forward on the path of ensuring that all data is trusted data with value in the AI economy. If you haven’t read it, you can access the full thought leadership paper here or watch the webinar on demand.
Now that you have some background, let’s talk about how we incorporate these trends into our business practices.
Dan Sommer
Hybrid AI bridges the maturity gap
Will traditional AI finally mature, or will Gen AI overtake it?
One of the biggest misconceptions is that generative AI will replace all preceding AI tools.
That would be a big mistake.
Now that AI has matured enough to be put into production and scaled, you can harness its potential to bridge the existing Gen AI maturity gap, especially in well-established use cases such as fraud analytics and churn analysis.
Qlik Solution
Qlik Staige, our holistic set of solutions, helps customers confidently embrace the power of both traditional and generative AI and deliver tangible value. Working with us, customers can build a trusted data foundation, find and act on insights with AI-infused analytics, and build and deploy AI for advanced use cases.
GenAI for insights: Supercharging the data consumer experience
How is AI empowering less-technical information workers?
For those people who just want to get to an answer – and fast – without the time, desire, or skills to perform an analysis, we will see an increase in auto-generated visualizations and insights, enhanced with explanations in natural language.
Consumers also tend to trust people more than data, so collaboration and data sharing will be key. There are bonus points if this can happen within the systems where they operate.
Qlik Solution
Qlik’s AI-enhanced platform finds and brings real-time insights to inform key business decisions. It removes any guesswork with visualizations, predictive insights, and summaries generated on the fly, using chat, search, and prompt-based experiences. The self-service environment enables smart data preparation for intuitive and real-time chart generation, whilst AI recommendations help you find associations between data sources and outliers. Insight feeds are also generated in natural language, alerts, and Teams integrations.
The age of unstructured data is now
Is GenAI the key to making unstructured data easier to analyze?
The majority (Forrester says 80%)¹ of the world’s data is unstructured.
Many have previously tried and failed to analyze unstructured data, but with new GenAI techniques, we can unlock its potential and value.
The opportunities for combining structured and unstructured data in a trusted way will be endless. You can re-use verified questions and answers to efficiently scan and analyze your entire data estate.
Qlik Solution
Thanks to Qlik’s associative indexing - and the acquisition of Kyndi - our unique analysis delivers superior exploration of structured and unstructured data. Using Qlik connectors to OpenAI, you can trawl larger amounts of unstructured data in a secure way to open new powerful use cases.
From BI to AI and back again, business analysis is changing
How is GenAI supporting business analysis?
Increasingly, individuals might start their analytical journey in GenAI tools, using them for simple data visualization and business projections.
As a next step, they may want to tap into enterprise-grade tooling for deeper analysis, bringing the benefits of GenAI to their trusted tools.
Qlik Solution
Qlik is an embeddable, governed, enterprise-grade platform that allows you to start your analysis in multiple places, including collaboration tools, business systems, intranets or chatbots.40,000 customers, including Harman, Hitatchi and Volvo, already have the confidence to trust the end results of their work because of Qlik’s ability to embed powerful AI into all of their data and analytics infrastructure.
Data origin matters: Understanding your data’s DNA
If you don’t know where data comes from, how can you trust it?
If data quality and lineage were important before, they have become non-negotiable in a world with AI.
A new mechanism to clearly label and signpost data will emerge to create the equivalent of a DNA test for your data to ensure you know and can trust its origin.
Qlik Solution
Qlik helps deliver governed and trusted data to organizations like Airbus, Jaguar, Schneider Electricand J.B. Hunt.
Qlik Talend™ Data Integration and Quality solutions enable a data fabric for modern architectures using automated data transformation pipelines to reduce complexity. Data Quality and Governance mitigate risk by providing trusted data with rich metadata management, data lineage and a trust score to keep track of your data health. All taking a no code, low code or code as you want approach to deliver clean, reliable and trusted data in near real time, ultimately building a solid foundation for any AI and analytics initiative.
The rise of novice developers demands AI Literacy
How can you safely put great power in the hands of citizen developers?
With plain English (or any other language) now the new dominating programming language for GenAI tools, we are seeing an explosion of apps built by the ‘everyday developer’ – resulting in a flurry of innovation.
Just as data literacy has been crucial in the last few years, we now need to turn our attention to AI literacy to improve standards, avoid governance chaos and application glut.
As this process puts very strong powers into the hands of the many, organizations must take steps to educate their workforce in the benefits and pitfalls of GenAI.
Now is the time to facilitate the creation of rich, thoughtfully designed applications that enable exploration.
Qlik Solution
With Qlik, more “citizen developers” can build simple, but richer, more advanced applications for your business to rely on. It’s easier than ever with tools such as text to SQL, expression editors in natural language, auto app creations and the ability to build visualizations and dashboards from a few prompts.
Data engineering, analysis and data science are merging
Will data be democratized by removing the need for advanced knowledge and tools?
New platforms, combined with the evolution of data fabrics, will consumerize data engineering to a new breed of users — especially if augmented with powerful AI, automation and data science.
Making the hard stuff easier and merging the roles and capabilities of data engineering, data science and analysis will enable organizations to solve tougher problems with fewer resources. Eliminating barriers between previously siloed functions will also help businesses move data and outputs from big to better.
Qlik Solution
Use Qlik Talend™ Data Integration and Quality to embrace complexity and unify fragmented data, Business Intelligence (BI) and AI/ML projects.
With Qlik in place to deliver clean, trusted data,the key data and analytics professionals in your organization can do more in a safe and governed way.
Automation and AI create a virtuous cycle
Why is the focus of AI changing from analysis to execution?
So far, GenAI tools have mainly been used to support reasoning and conduct analysis, rather than for action.
But with transformed data in near-real time and in the right place, we will start to see new ways of using GenAI with application automation.
GenAI, connected with automation, will mean less manual work for humans to connect and build workflows and instead take on the role of decision stewards.
Qlik Solution
Qlik makes the most up-to-date information availablein the most important moment: now.
Not only can Qlik help you find the insights and drive action with built-in AI, but you can also integrate intoother AI and RPA platforms to deliver AI-ready data and then bring it back into Qlik to show the results, instantly and automatically.
Drive automated metrics and insights within dashboards or embed them directly into machine-driven processes, using APIs and automating data workflows between cloud-based applications to streamline DevOps and lower operational costs. Qlik combines data at rest with data in motion, reflecting the pulse of the data and delivering insights in the business.
Last-mile AI customization becomes critical for business
How do we develop GenAI tools specifically for business needs?
Early applications of GenAI are massively scalable — but currently generic.
Over time, we’ll increasingly see AI customized to industry, and more specifically, business-to-business (B2B) use cases built on multi-cloud environments for efficiency and stability.
This will take the shape of applications where the foundation may be common, but with layers of customization that better serve the long tail. Furthering this trend, we will also see that with less effort and fewer consultancy hours, sophisticated applications can be built that address a specific industry or issue at hand.
Qlik Solution
Because Qlik is agnostic, multi-cloud and multi-LLM, you’re not locking yourself in or limiting your options. A vast ecosystem of customers and partners rely on the platform to build and use rich, mission-critical applications for supporting and growing their businesses.
Data as a product that can be traded
How has AI become the tipping point for monetizing your organization's data?
Start to apply principles of product management to data, asking questions about what problem(s) we are solving, what it is going to be used for and by whom. This will emphasize the importance of data quality, governance and usability for end users.
The concept of treating data as a valuable asset or product means it can be surfaced in a catalog and used both indirectly (internally) to create huge value through improving internal systems and processes and directly (externally) to evolve into a tradable good.
This opportunity will encourage organizations to use their own data to further train Large Language Models (LLMs), like ChatGPT, which can then be monetized. The more the data product is used, the more valuable it will be.
Qlik Solution
Qlik creates AI-ready data products. With the recent acquisition of Mozaic Data (Mozaic), Qlik has all the critical components to simplify data handling for businesses, enabling a data product-oriented approach for better data quality and governance. Qlik can help you build a data fabric, using data mesh principles, resulting in data that can be productized, combined with analytic products that turn the data into business value.
With a SaaS-based Data Product Catalog, Qlik can offer a more efficient and user-friendly experience in data lifecycle management, while also reinforcing a solid foundation for AI-driven data management.
A Lesson in Trendsetting
Qlik's Dan Sommer joins Ronald Van Loon to discuss what makes Qlik's annual Trends predictions different from other trends in the market.