Drive AI and ML Success with Cutting-Edge Data Engineering Solutions

Last Published: May 18, 2023 |
Pratik Parekh
Pratik Parekh

SVP Products and General Manager 

At Informatica World® last week, we unveiled game-changing innovations in data engineering and integration with Informatica ModelServe and Informatica INFACore, services of the Intelligent Data Management Cloud™ (IDMC). Both of these breakthroughs provide an easy, efficient and cost-effective data engineering and integration solution for data engineers, data scientists and low-code developers. Most importantly? They enable organizations to accelerate their business transformation journey and AI/machine learning (ML) initiatives, a differentiator in today’s competitive landscape. Let’s explore why these types of tools are necessary.

How Data Challenges Impact Business Transformation

Business transformation is a continuous process that organizations undertake to leverage data to optimize their processes, improve customer experience and drive innovation. Progressive organizations typically start this journey with descriptive and diagnostic analytics to gain insights into their business operations. As they mature, they move to predictive and prescriptive analytics to anticipate future trends and optimize their business processes. Their ultimate goal? To become autonomous by leveraging AI to understand and act.

That said, according to a recent McKinsey Global Survey, only 30% of companies stated they are successful in their business transformation journey.1 What’s causing this phenomenon? Data challenges that are derailing organizations’ best efforts to push forward.

Managing data is the foundation of digital transformation and AI/ML initiatives. But truth be told, the modern enterprise architecture is highly complex, and data is fragmented across various sources. I can see why: A staggering 328.77 million terabytes of data are created every day.2 And with the rapid growth of structured and unstructured data, organizations want (and need) to leverage their data to gain a competitive advantage and improve the customer experience.

To achieve this, machine learning has become an important method to leverage the potential of data. ML also allows businesses to be more innovative, efficient and sustainable. Unfortunately, the success of many productive ML applications in real-world settings falls short of expectations.

In addition, low-code developers, like data engineers and data scientists, play a key role in harnessing the value of data by building data-driven applications. Although several options exist to build data applications, it’s not easy. Data engineers and data scientists often grapple with data management challenges like accessing relevant data, data cleansing and standardization, platform scalability, complexity and maintenance issues. Until now.

Operationalize Virtually Any AI/ML Model at Scale with Informatica ModelServe

Informatica ModelServe, a service of IDMC, is our cloud native MLOps solution that simplifies ML model deployment. It does this by streamlining and automating the building, deploying and monitoring of machine learning models. This helps enterprises scale their AI adoption in minutes to make trusted decisions in real time. It also combines model development and operations technologies that are essential to high-performing AI solutions.

With Informatica ModelServe, data scientists and ML engineers can focus on solving business problems rather than worrying about model provisioning infrastructure. Informatica ModelServe operationalizes high-quality and governed AI/ML models using virtually any tool, framework or data science platform, at scale, within minutes instead of days and months. Plus, models can be consumed by practically any application.

But don’t take our word for it. Our partner, Hevin Leo Marchaline, Managing Partner at Unify Data, had this to say: "ModelServe has been a game-changer for us. It has helped us automate the deployment and monitoring of our models, which has resulted in better decision making and improved business outcomes. We're now able to develop and deploy models at a much faster pace and with higher quality than before."

Watch this video to see how Informatica ModelServe can put AI into action for you, too.

Empower Low-Code Developers With Informatica INFACore Intelligent Headless Data Management

To further help the low-code developer community, Informatica has abstracted the building and maintaining of complex data pipelines and simplified data management with its innovations to create Informatica INFACore. A service of IDMC, Informatica INFACore enables developers to use their favorite programming language or integrated development environment (IDE), without any context switching for building data pipelines, which helps boost productivity.

Informatica INFACore is the industry’s first simple, open, extensible and embeddable intelligent headless data management, a component of IDMC. It radically simplifies the development and maintenance of complex data pipelines and data management tasks, turning thousands of lines of code into a single INFACore function. This cutting-edge solution also:

  • Provides complete flexibility to integrate with virtually any third-party application, built using virtually any programming language
  • Provides virtually all the innovations of IDMC for developers to use within their programming interfaces
  • Increases developer productivity with zero maintenance and maximum reusability
  • Is future-proof, scalable, cost-optimized and agnostic to virtually any cloud ecosystem, IDE and programming language

Hevin Leo Marchaline of Unify Data, who has also leveraged Informatica INFACore, believes it “has great potential and will help implement a very complex customized data management solution easily. A programming language with specific SDKs that provides simplified access to IDMC and IDE extensions with auto generation of code will drive immense productivity gain for the developers.”

Watch this video to see how you can save time and boost developer productivity with Informatica INFACore.

Next Steps

Ready to take data engineering to the next level? Discover how these innovative breakthroughs can work in your environment.




First Published: May 18, 2023