News Category: Media Coverage

SDTimes recently covered the launch of dotData Py Lite - the first AI Automation Solution designed to live on a data scientist's laptop. You can read more about it at SDTimes, then come back to learn about dotData Py Lite.

dotData's own Sachin Andhare was recently a co-presenter for a webinar on smart manufacturing hosted by Tech Briefs. The webinar covers the modern "smart factory" and the role AI plays in enabling smart manufacturing. Whether it's leveraging data from production machinery, pick-and-place equipment, sensor data from robots, and other types of manufacturing automation tools, smart manufacturing is all about leveraging those vast troves of data to make better decisions. In the 60 minute webinar, you will get an overview of the technologies that comprise the smart factory and to help you determine which ones you may need and how best to utilize them. Topics of the webinar include why building AI models quickly and with high transparency are critical. You will also learn about real-time AI, streaming analytics, and the ability to deploy models in real-time scenarios. You can read about and watch the webinar on the Tech Briefs website.

Once again CRN magazine named the 10 coolest machine learning tools for the year, and once again, in 2021, dotData made the list. CRN is the premier publication for all things related to technology for solution providers and integrators. As the premier channel publication, dotData is honored to be named among the 10 coolest technologies of the year. According to CRN, AI and machine learning have become critical technologies in the arsenal of businesses looking to automate business intelligence and for those looking to take the leap into advanced analytics and predictive analytics. Developing and maintaining the machine learning models that are needed can be complex and time-consuming, and dotData is among a new generation of machine learning tools that make the process simpler, faster, and more automated. dotData Py Lite is now among the list of the "coolest tools" named by CRN for its ability to allow data scientists…

dotData Named a Leader
The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019.

Aaron Cheng, our Vice President of Data Science, recently spoke with Chris Preimesberger of eWEEK “eSPEAKS” to discuss everything dotData.

Ryohei Fujimaki, Ph.D., founder and CEO of dotData explains the five common mistakes to avoid for digital transformation success with eWEEK. Companies are forging ahead with digital transformation at an unprecedented rate and anticipate ROI increases of between 10% and 20% in the next year. Research shows that 71% of all digital transformation initiatives don't reach their goals. This article describes five mistakes that leaders can avoid to beat the odds. Recent research shows that empowered Chief Data Officers, backed by solid mandates and executive support, are essential in successful digital transformation. Business strategies are constantly changing due to market forces, such as regulation, supplier, customer, or competitive pressure. The data infrastructure needs to be in place for companies to be successful with digital transformation. IT needs to evolve and have the correct data processing architecture and legacy IT infrastructure to support AI solutions. If the business is new to…

Our CEO Ryohei Fujimaki discusses how building #AI applications because everyone is doing it, is a path to failure and shares his step-by-step advice for AI success with Integration Developer News #iDevNews  "Building AI applications because everyone is doing it and throwing any problem at AI without concrete objectives is a path to failure,” AI is taking off like a rocket, but companies need to think carefully about investments in AI. The enterprise's rapid adoption of AI and machine learning will gain even more steam in 2021. However, the challenges of applying AI to business problems are often not easily solved. AI is a new-age hammer for companies that want to use it to pound at every remotely looking like a nail. Businesses must have clear, quantifiable business goals to leverage AI investments. AI projects can have murky ROIs due to misunderstood AI capabilities and timelines. AI leaders should create a…

Leveraging data science skills and leveraging machine learning techniques can give companies an advantage. The global services-based systems integrator Convergint hired Bhuvana Badrinathan to serve as its first CIO and leverage AI for sales forecasting. When Badrinathan joined, there were no data scientists or a formal data team. Convergint needed to increase its data capabilities and needed a new ERP system to support a host of customer-facing applications. Convergint struggled to build executable models because they did not have adequate resources for the upfront data analysis required. Badrinathan's passion is to make Convergint a business that makes data-driven decisions. Everyone at Convergint needed access to verified and validated data and Power BI dashboards to make data-driven decisions. Data democratization is a challenging task, but Badrinathan said that she prioritized hiring a data scientist to guide the company through that process. After hiring a data scientist, it took a long time…

Aaron Cheng, our VP of Data Science, discusses how adopting or evaluating AI versus actually benefitting from it can be far different challenges and what are the key things that can make AI adoption at organizations successful with the SD Times “What the Dev” podcast. Podcast Transcript You're listening to what the dev the weekly podcast of SD times. And now here's Jacob Lewkowicz, the online and social media editor at S T times. And today's episode of what the dev we'll be talking about, how adopting or evaluating AI versus actually benefiting from it can be far different challenges. And what are the key things that can be done to help make AI adoption at an organization? With me today to talk about the matter, I have Dr. Aaron Chang, the Vice President of data science at dotData, a company that offers end-to-end data science automation for the enterprise.…

News site Devops.com recently covered dotData's launch of our new dotData Cloud, cloud-based, no-code AI Automation solution designed for BI teams and data engineers in organizations just getting started with AI. dotData Cloud is a new AI-automation software platform and services that allows organizations with small to no data science teams to quickly and efficiently automate AI/ML development and generate business value in 45 days. dotData's new offering is a cloud-based AI/ML automation platform enabling customers to manage back-end operations on a unified e-commerce platform. DotData Cloud's automated machine learning capabilities, dotData customer sticky.io, developed a model to analyze customer data better. Justin Shoolery, Director of Data Science & Analytics, said that dotData Cloud lets him focus on finding patterns and finding viable models. As demand for AI and ML capabilities increases rapidly, dotData Cloud provides full-cycle automation platforms that can help build, deploy and scale AI models. dotData Cloud…

News site TDWI recently covered dotData's launch of our new dotData Cloud, cloud-based, no-code AI Automation solution designed for BI teams and data engineers in organizations just getting started with AI. dotData's new dotData Cloud software platform allows users to automate, host, and co-develop AI/ML use cases. DotData's latest offering, dotData Cloud, is a new AI-automation software platform and services to help growing enterprises achieve measurable business value with their data science practice. DotData Cloud provides an automated platform for data science, providing access to advanced AI and machine learning development tools in a cloud-based platform for BI teams to fully automate the data science process. Read more at TDWI today"

News site AIThority recently covered dotData's launch of our new dotData Cloud, cloud-based, no-code AI Automation solution designed for BI teams and data engineers in organizations just getting started with AI. A new risk-free, all-inclusive bundle of services enables growing enterprise organizations to quickly and efficiently automate AI/ML development with support to help organizations achieve measurable business value in 45 days. dotData offers a cloud-based platform for AI/ML. The platform automates the entire data science process, accelerating ROI and lowering the total cost of model development. Using dotData Cloud's automated machine learning capabilities, Sticky.io's data science and analytics team developed a model to analyze customer data better. As the demand for AI and ML capabilities increases, there is a need for companies that don't have data science teams to build them. dotData, a company that provides full-cycle automation platforms, enables BI teams to build, deploy and scale AI models. AIT…