Thoughts on AI

Krasamo is a development company of machine learning systems, and offers ML models and applications, data services, algorithm analysis, and infrastructure management.

AI Consultants: Strategy, Development, and Implementation

AI Consultants: Strategy, Development, and Implementation

In today’s digital age, adopting AI solutions is crucial for businesses to gain a competitive advantage. However, many organizations lack the necessary data and machine learning (ML) skill set to create valuable AI solutions. This is where AI consultants play a key role, bridging the skill set gap and accelerating the adoption of AI across business functions. AI consultants help assess an organization’s maturity level and design a transformation approach that fits the client’s goals. They also promote the creation of collaborative, cross-functional teams with analytical and ML skills, and work on creating consistency in tools, techniques, and data management practices to enable successful AI adoption.

TensorFlow for Building AI Applications

TensorFlow for Building AI Applications

TensorFlow is a Machine Learning cross-platform that has started to be adopted widely worldwide. It was released by Google in 2015 and now TensorFlow 2.0 Alpha is available.

Generative AI Strategy: Building Intelligent Transformation in Organizations

Generative AI Strategy: Building Intelligent Transformation in Organizations

As generative AI continues to evolve, it opens up unprecedented opportunities for creative and innovative business solutions. This GenAI strategy paper outlines the digital concepts and strategies organizations can adopt to leverage generative AI effectively, ensuring sustainable transformation and competitive advantage.

LLMOps Fundamentals

LLMOps Fundamentals

Explore LLMOps fundamentals for generative AI applications. Learn how effective management and operations transition prototypes to real-world use cases with Krasamo’s specialized services.

Introduction to Machine Learning

Introduction to Machine Learning

Machine learning, a subfield of AI, has become a crucial component of developing tools and applications for data analysis and decision-making in the digital age.

What is Machine Learning?

What is Machine Learning?

Machine Learning is an application in which machines can learn automatically from their experiences or train data to make predictions detecting patterns and creating its own rules.

Creating a Machine Learning Use Case: Steps and Considerations

Creating a Machine Learning Use Case: Steps and Considerations

This article discusses the steps and considerations for creating a machine learning use case to improve business processes. It explains the concept of machine learning and the importance of data quality and volume in creating accurate predictions. The article outlines the steps in creating an ML use case, including defining the problem, collecting and preparing data, defining product objectives and metrics, training and evaluating the model, and deploying the model. The article also discusses the types of ML problems and how to discover ML use cases in existing business processes. Overall, the article emphasizes the importance of understanding business problems and identifying opportunities to use ML to create enhanced solutions.

Feature Engineering for Machine Learning

Feature Engineering for Machine Learning

Feature engineering is a crucial aspect when it comes to designing machine learning models, and it plays a big role in creating top-notch AI systems. Features are attributes that represent the problem of the machine learning use case and contribute to the model’s prediction. The process of feature engineering involves creating relevant and useful features from raw data combined with existing features, adding more variables and signals to improve the model’s accuracy and performance. It starts manually and can be accelerated by adding automated feature engineering tools and techniques. Follow the steps of feature engineering to optimize your machine learning models and create innovative products.


DataOps: Cutting-Edge Analytics for AI Solutions

DataOps: Cutting-Edge Analytics for AI Solutions

DataOps is an essential practice for organizations that seek to implement AI solutions and create competitive advantages. It involves communication, integration, and automation of data operations processes to deliver high-quality data analytics for decision-making and market insights. The pipeline process, version control of source code, environment isolation, replicable procedures, and data testing are critical components of DataOps. Using the right tools and methodologies, such as Apache Airflow Orchestration, GIT, Jenkins, and programmable platforms like Google Cloud Big Query and AWS, businesses can streamline data engineering tasks and create value from their data. Krasamo’s DataOps team can help operationalize data for your organization.

What Is MLOps?

What Is MLOps?

MLOps are the capabilities, culture, and practices (similar to DevOps) where Machine Learning development and operations teams work together across its lifecycle

Data Monetization

Data Monetization

Data monetization is a process that uses data to create monetary value in the organization. Data products are the source of data that comes in raw or refined forms such as data sets, reports, analysis results, applications, etc

Technological Disruption & Introducing AI

Technological Disruption & Introducing AI

Human-made brainpower, otherwise called AI, is mainly used to computerize natural intelligence, including replicating human‑like intelligence, or collective intelligence, capable of recreating the same decisions and actions that a naturally occurring intelligence would do.

5 Ways to Fight Overfitting

5 Ways to Fight Overfitting

Taking steps to fight overfitting is necessary to develop predictive models that make accurate predictions on new data, especially when using complex models like neural networks or decision trees.

Machine Learning is Helping in a New Era

Machine Learning is Helping in a New Era

Modern machine learning methods have been around for more than 10 years, but now there is a trend to add machine learning to a wider range of applications including medicine, agriculture, and even IoT devices.

Want to learn more?

Krasamo is a AI Development Company that empowers enterprises with tailored solutions.
Learn More