Headerbild zu Operationalisierung von Data Science (MLOps)

Operationalization of Data Science (MLOps)

Maximize the benefits of AI by integrating AI processes with business processes and ensure data quality and traceability of the AI process.
Contact us now

Key challenges that MLOps overcome

Trust in data and the process behind it is key to the successful use of Artificial Intelligence. However, this poses numerous challenges for companies:

Assessment

Unambiguous assessment of the origin and correctness of the data for the decision

Requirements

Duration and effort for the operational deployment of a new algorithm must be lean

Rating

Evaluation of the technical correctness of the algorithm

Quality

Embedding AI in the business process requires quality: documented, monitored, traceable

Are you facing similar challenges?

AI platforms help you provide documented, traceable information and implement MLOps. Generate intelligent AI processes from trusted data and embed them into business processes to make informed decisions. We support you in this!

Request a non-binding exchange

Advantages of an AI platform:

MLOps' challenges in handling data and the process behind it can be overcome with an AI platform:

  • Operationalization of AI processes

    Using Artificial Intelligence to gain insights from data is already a great advantage. This advantage can be multiplied a hundredfold if the AI process is embedded in the actual operational process and can thus constantly deliver its added value. This in turn requires the AI process to operationalize itself: AI must be available as a service, via REST API, as a batch job.

  • Provisioning and monitoring of services

    The provision of AI services in the required form must be agile, performant and traceable. The same requirements apply as for all other business-critical processes.

  • Long-term technical and business monitoring (BIAS) of AI models.

    AI processes are subject to a constant learning and aging process, as the underlying business process is also evolving. A progression in the operational process must be countered with an evolution of the AI process and this must be automated as much as possible. Likewise, potentially undesirable influences ("BIAS") must be detected and documented.

  • Data cataloging/governance

    Central cataloging of data enables faster and more agile development of AI processes. When the origin and meaning of data is documented, AI can make the right predictions more safely and reliably.

  • Data Virtualization

    Making data available to the AI process can be a challenge. Data virtualization can help by making data available to the AI process not physically, but virtually, fully documented and protected.

In our projects, we analyze the individual requirements based on the customer's situation. Then, on the basis of technical and business requirements, we suggest the appropriate architecture to achieve the goals and implement it if necessary.

In the AI platform, thanks to "AutoAI", a model equal in quality and grade was created with a few clicks and a usable, monitored AI process was created in a few minutes. Using OpenScale, this process is now monitored by AI for quality, drift and BIAS.

Marc Bastien Software Architect TIMETOACT

Cloud Pak for Data as AI platform

Experience from previous customer situations have shown that the "Cloud Pak for Data" solution offered by IBM comprehensively supports the AI process incl. MLOps in all aspects. Graphically, the solution and the process look like this:

Grafik zu Cloud Pak for Data als KI-Plattform

Practical example with our customers


Marc Bastien, Software Architect at TIMETOACT, will show you how IBM Cloud Pak for Data and structured application of Data Science identifies and exploits untapped potential in processes using project examples from our customers. 

textandvideo.cookieNotEnabled.text

Our Services:

The breadth and simultaneous depth in covering all analytical issues is TIMETOACT's strength. Experience from decades of consulting and close cooperation with the leading technology providers benefits every project. TIMETOACT has always been at the forefront of adapting new, modern solutions from the technology leaders.

Proof-of-Value Workshops

Determination of data situation and use cases as feasibility study incl. proposal of target architecture for AI project

Introduction & Implementation

Identify open challenges in existing or new AI projects and the potential benefits of adopting an AI platform.

Selection & Implementation

Support in the selection and implementation of an AI platform

Support

Support for the introduction of AI and AI platforms

Contact us now!

We would be happy to advise you in a non-binding conversation and show you how you can benefit from MLOps. Just leave your contact details and we will get back to you as soon as possible.

* required

We use the information you send to us only to contact you in context of your request. For this purpose, we store your data in our CRM for up to 6 months. You can find all further information in our Privacy Policy.

Please solve captcha!

captcha image
Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

Process Integration & Automation
Service

Process Integration & Automation

Digitizing and improving business processes and reacting to changes in an agile way – these are the challenges that more and more companies need to face.

Service

Process Transformation, Integration & Automation

Using Process Transformation, Integration & Automation to react quickly to market changes and sustainably improve competitiveness.
Laptop mit vielen Grafiken
Leistung 2/25/25

Software Assessment

Get through the is state of your core systems with the Legacy Software Assessment.
Teaserbild zu Data Integration Service und Consulting
Service

Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.
Headerbild zu Digitale Planung, Forecasting und Optimierung
Service

Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

Headerbild zu IBM Decision Optimization
Technologie

Decision Optimization

Mathematical algorithms enable fast and efficient improvement of partially contradictory specifications. As an integral part of the IBM Data Science platform "Cloud Pak for Data" or "IBM Watson Studio", decision optimisation has been decisively expanded and embedded in the Data Science process.

Produkt

Cloud Machine Learning

Instead of writing code that describes the action to be performed by the computer, your code provides an algorithm that adapts itself. Learn faster and better with Machine Learning!
Headerbild zu Data Governance Consulting
Service

Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

Service

Decision Automation

We offer a comprehensive service in the field of decision automation, ranging from consulting and design to implementation and operation
Offering 2/25/25

Smart Assessment

Using Smart Assessment you can have your existing IT environment assessed, e.g. in the event of a change of deployment or a required upgrade.
Technologie

Microsoft Azure Synapse Analytics

With Synapse, Microsoft has provided a platform for all aspects of analytics in the Azure Cloud. Within the platform, Synapse includes services for data integration, data storage of any size and big data analytics. Together with existing architecture templates, a solution for every analytical use case is created in a short time.
Technologie Übersicht 2/25/25

Kofax

With the support of Kofax Capture™, TIMETOACT automates and accelerates business processes. Paper documents and forms of any type can be captured and transferred to business applications, processes and workflows.

Headerbild für Prozessmanagement
Kompetenz 2/25/25

Process Management

Process management causes additional work in the introduction phase, but this quickly turns into added value for your company as well as for employees, business partners and customers.
Die Videokonferenzlösung von Google Workspace Meet
Service

Workspace Security Assessment

Two of the most common topics for questions about Cloud services in general, and Google Workspace in particular, are security and data protection. We take both topics very seriously and offer the Workspace Security Assessment Workshop, a Google-standardized format for optimizing security settings to meet enterprise requirements.
Headerbild zu Managed Services bei Versicherungen
Branche

Managed service for insurers

Maintaining and operating applications often ties up a lot of resources that are urgently needed elsewhere. Or the corresponding skills are almost completely missing. With our Managed Services, you no longer have to worry about your IT!
Logo okta
Technologie Übersicht

Okta

Okta is the leading independent provider of Cloud identity solutions for enterprises. Okta's vision is to enable any business to use any technology.
Headerbild IBM Cloud Pak for Data
Technologie

IBM Cloud Pak for Data

The Cloud Pak for Data acts as a central, modular platform for analytical use cases. It integrates functions for the physical and virtual integration of data into a central data pool - a data lake or a data warehouse, a comprehensive data catalogue and numerous possibilities for (AI) analysis up to the operational use of the same.
Kompetenz

Artificial Intelligence & Data Strategy

Every company collects and manages vast amounts of data, e.g. from production processes or business transactions.
Headerbild Data Insights
Service

Data Insights

With Data Insights, we help you step by step with the appropriate architecture to use new technologies and develop a data-driven corporate culture

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!