• About Daitan
    • Meet the Team
  • Our Services
    • Design and Architecture
    • Agile Software Development
    • Data Science and Engineering
    • Automation and Chatbots
  • Innovation
  • Our Work
  • Knowledge Center
  • Careers
  • Contact
  • About Daitan
    • Meet the Team
  • Our Services
    • Design and Architecture
    • Agile Software Development
    • Data Science and Engineering
    • Automation and Chatbots
  • Innovation
  • Our Work
  • Knowledge Center
  • Careers
  • Contact
Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed

Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed

  • Posted by GM, Digital Solutions
  • On January 7, 2021
  • AI, AI Project, Business Goals, Machine Learning, Machine Learning Project
Stakeholder buy-in plays a critical role in the success of a machine learning project. Learn how early buy-in ensures your project reaches its goals.
Read More
 
Machine Learning Data Pipelines for Financial Transactions

Machine Learning Data Pipelines for Financial Transactions

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Financial Services, Machine Learning, Symphony Platform
This case study demonstrates how Daitan approaches developing high volume, high velocity data pipelines, in particular for financial transactions.
Read More
 4
Machine Learning for Anomaly Detection

Machine Learning for Anomaly Detection

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Communications, Machine Learning, Symphony Platform, Telecommunications, Time Series Forecast
Build and implement an AI solution to monitor, analyze and alert Communications companies of deviations from normal traffic behavior, detecting robocalling and fraud.
Read More
 3
Programming With Data

Programming With Data

  • Posted by Daitan CTO
  • On November 5, 2019
  • Data, Data Centers, Data Science, Machine Learning
In this post, I will share a very basic view of the technologies that are used to build ML solutions with the goal of helping those who have not had exposure to this domain understand where all the hype comes from. For my engineering colleagues, keep in mind that this article is meant to very simply present this technically complex field; and, does not tackle detailed technical challenges, the compelling issue of bias, and social concerns about ML/AI replacing jobs.
Read More
 
Storing and Retrieving Machine Learning Models at Scale With Distributed Object Storage

Storing and Retrieving Machine Learning Models at Scale With Distributed Object Storage

  • Posted by Daitan Innovation Team
  • On September 6, 2019
  • Machine Learning, Object Storage
The need to quickly create, store, and fetch machine learning models at scale is rapidly increasing. Examples of applications include recommender systems that are based on individual customers’ purchasing habits or detection of fraud attempts based on each customer’s past behavior, among many others.
Read More
 3
Exponential Smoothing Methods for Time Series Forecasting

Exponential Smoothing Methods for Time Series Forecasting

  • Posted by Daitan Innovation Team
  • On August 7, 2019
  • Exponential Smoothing, Machine Learning, Time Series Forecast
In our last two articles, we covered basic concepts of time series data and decomposition analysis. Following that, it’s now time to apply that knowledge to a practical algorithm. In this piece, we provide an overview of Exponential Smoothing Methods.
Read More
 2
How Can Artificial Intelligence and Machine Learning Help Us Reimagine the Customer Experience?

How Can Artificial Intelligence and Machine Learning Help Us Reimagine the Customer Experience?

  • Posted by Marketing Daitan
  • On August 11, 2018
  • AI, Customer Experience, Digital Transformation, Machine Learning
We hear a great deal about customer-centricity and integrating the customers’ journey at all touch points in order to optimize the customer experience. Considering how customer demands continue to evolve, what does it take for brands to produce a high quality, continuous experience?
Read More
 
Practical Facts About the Current State of Machine Learning and Artificial Intelligence

Practical Facts About the Current State of Machine Learning and Artificial Intelligence

  • Posted by Marketing Daitan
  • On August 11, 2018
  • AI, Data, Digital Transformation, Machine Learning
Over the past 2 years, Daitan has helped a number of our clients implement advanced technology solutions, as well as provided Data Science, Data Engineering, Customer Experience and DevOps resources to successfully implement it. In our experience, companies are taking measured steps to take advantage of Machine Learning and Artificial Intelligence technologies based on clear business objectives that intelligently further growth.
Read More
 
How Can Artificial Intelligence and Machine Learning Help Us Reimagine the Customer Experience?

How Can Artificial Intelligence and Machine Learning Help Us Reimagine the Customer Experience?

  • Posted by Marketing Daitan
  • On August 6, 2018
  • AI, Chatbot, Customer Experience, Machine Learning
We hear a great deal about customer-centricity and integrating the customers’ journey at all touch points in order to optimize the customer experience. Considering how customer demands continue to evolve, what does it take for brands to produce a high quality, continuous experience?
Read More
 
Recent Posts
  • Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed
  • Comparing different types of AI/ML Partners
  • How to Build Your Own Intelligent Assistant Using RASA
  • Exploring the Viability of Generative Adversarial Networks for Audio Denoising
  • When Engineering Builds Business Value for a Company, It Should Get Credit For It
Categories
  • Blog Post
  • Case Study
  • Events
  • Innovation
  • News
  • Whitepaper
Tags
Agile Agile Teams AI Analytics Architecture Artificial Intelligence Audio Audio De-noiser Best Practices Business Outcome Canada Chatbot Cloud Communications COVID-19 Customer Experience Daitan Daitan Hiring Data Data Science Deep Learning Design & Architecture DevOps Digital Business Digital Solutions Digital Transformation Event-Driven Architecture Exponential Smoothing Facial Recognition Financial Services Hiring LATAM Machine Learning News NLP Object Storage Open Source SaaS Security Software Development Symphony Platform Telecommunications Tensor Flow 2.0 Time Series Forecast Virtualization
Scroll

Since 2004, clients have trusted Daitan to build core technology, data solutions and software products that scale with real-time performance. They rely on Daitan because we deliver quality results, while de-risking projects and accelerating time-to-market. From well-funded start-ups to global Fortune 500 enterprises, Daitans clients span a wide variety of industries.

NAVIGATION
  • About Daitan
  • Our Services
  • Innovation
  • Our Work
  • Knowledge Center
  • Careers
  • Contact
Recent Posts
  • Stakeholder Buy-in Helps AI/Machine Learning Projects Succeed January 7, 2021
  • Comparing different types of AI/ML Partners December 3, 2020
  • How to Build Your Own Intelligent Assistant Using RASA November 25, 2020
DAITAN LOCATIONS
  • USA Headquarters

    2410 Camino Ramon, Suite 285
    San Ramon, CA 94583

  • CANADA Headquarters

    1175 Douglas Street, Unit 916, Victoria, BC, Canada, V8W2E1

  • BRAZIL Headquarters

    Av. Selma Parada, 201, Bloco 1, Conjunto 141, Galleria Office Park, Jardim Madalena, Campinas, SP, Brazil, 13091-904

Copyright ©2020 Daitan | All rights reserved | Privacy Policy | Contact Us

Explore your options

Get in touch to learn how Daitan can accelerate your project.

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you accept this.AcceptNoPrivacy policy