The future of data management enabled by gen AI

Your data challenges made easier with AI

From

To

Slow & manual data management

Are you manually documenting data assets, relying on data engineers to code data quality rules, and spending all your time on data prep?

Hand off the tedious stuff to GPT

Give our co-pilot prompts to generate rules from plain text, auto-apply rules to tables, and transform data for you. Automate, accelerate, and scale!

Lack of resources and no chance to innovate

You’re faced with a high volume of requirements from the business and the board, but you lack enough specialized skills in your team to execute fast.

Give everyone the ability to do great things with data

Enable everyone to understand data effortlessly, validate data, and create custom data sets fit for purpose—and do more with the budget you have.

Lack of business-buy in

Does your business have initiatives that your data just can’t support? Struggling to show value fast and deliver outcomes tied to tangible business results?

Accelerate business change with data

Put high quality, accessible data at the fingertips of business and data people to drive high impact data projects.

Gen AI: Transforming the Data Landscape

Watch the recording

Automated and easier DQ for every user

Assisted Data Quality

Incorporate AI co-pilots and assistants into your data quality efforts to boost automation, confidence in data insights, and operational efficiency.

AI-Driven DQ Rule Management

Automate and speed up data quality rule creation and assignment. Empower any user to improve DQ effortlessly by providing recommendations and creating actionable DQ rules via plain text conversions – no need to code.

Effortless Data Documentation

Leverage generative AI for automated data asset categorization, classification, and description creation. Accelerate, speed up, and make the data usage experience more precise.

Automated Data Processing

Identify errors, anomalies, and inconsistencies in data. Apply trained models to each data asset to assess the data’s validity and fit for data analysis and reporting.

AI-Assisted Data Preparation

Elevate overall data quality with generative AI-powered data cleansing, remediation, and enrichment capabilities. Detect, correct and enrich data to improve decision-making, optimize processes, improve efficiency, and boost productivity.

FAQ

What does Ataccama use to power Ataccama AI?

Ataccama integrates a private deployment of ChatGPT hosted on Microsoft Azure. This integration allows us to provide advanced natural language processing and conversation functionality, significantly enhancing the user experience.
Does Ataccama use customer data in AI modules?

The majority of our features utilize metadata to provide suggestions. Using customer data is optional as the platform is fully configurable, and it only happens when a model needs data to provide better accuracy.
If I am already an Ataccama customer, will I need to purchase a new module to use the gen AI functionalities?

AI functionalities come built into our existing Data Governance and Quality modules. Hence, if you are a DGQ customer, you will be able to access AI features without the need to purchase additional modules. You will, however, need to have access to the latest versions of our product to be able to unlock gen AI functionalities.
What security measures does Ataccama take to ensure the AI is safe?

Ataccama takes various security measures to ensure the safety and security of its AI solutions, including its collaboration with ChatGPT in Azure. Some of these measures include:

User Consent: Users allow which content can be used for AI features. All features can work only with metadata, and data is not required.

Data protection: Ataccama ensures that the data used within their solutions is encrypted both in transit and at rest, protecting sensitive information from unauthorized access.

Access control: Ataccama utilizes strict access control mechanisms, such as role-based access control and authentication, to ensure that only authorized personnel can access and manipulate the AI system.

Privacy compliance: Ataccama adheres to various privacy regulations and guidelines, such as GDPR, to protect user data privacy and ensure compliance with legal requirements.

Network security: Ataccama employs robust network security measures, such as firewalls and intrusion detection systems, to protect against external attacks and vulnerabilities.
Who in my organization will benefit from AI-driven DQ?

GenAI DQ simplifies a number of routine tasks and reduces the barrier to data usage, even among people not well-versed in data science. Considering this, any employee who needs data for their work will benefit from AI-driven DQ.

C-Suite should consider AI-driven DQ for its ability to deliver wins more quickly and efficiently and move from defensive to offensive data management strategies.

Data management professionals will be able to spend less time firefighting and more innovating without investing heavily in new resources, as AI will take care of routine data management tasks.