The Data Standard

Scalability, scalability, scalability, scaling, these words represent the same concept: the ability for data processing systems to increase their processing capabilities as data increases. Scalability therefore corresponds to the ability of systems to evolve in order to process data of a different nature in large quantities and in always faster. If latency is taking too much progress and some internal or external customers are complaining about the slowness of your systems, it's time to focus on the issue of scalability. In this episode, guest Ken Tidwell sits down with TDS to discuss data scalability.

Ken Tidwell
https://www.linkedin.com/in/ketidwell/

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io
https://www.linkedin.com/company/the-data-standard
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Lon Baker, COO of VirtualPBX, has decades of experience in telecommunications, both as an entrepreneur and as a prominent figure of the company he now leads. His ambition and hard work have propelled VirtualPBX to be a global provider of voice, video, and texting services for businesses of all sizes. He has reshaped the way in which VirtualPBX serves its customers and has played a pivotal role in the company’s recent migration from its legacy platform of the 2000s to the current API-based Dash platform it now uses. There is no individual better suited to speak about data and cloud platforms.

Lon Baker
https://www.linkedin.com/in/lonbaker/

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io
https://www.linkedin.com/company/the-data-standard
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, guest Myles Guanzon sits down with TDS to discuss the ways that digital platforms are innovating the healthcare industry. Myles Guanzon is a servant engineering leader with a strong passion for data-driven, lean product development, Myles comes from a non-traditional engineering background. His career started in DevOps with server management and progressed by learning web development and co-founding a design agency to develop web applications for clients, including NASA. Today as the VP of Engineering at Omada Health, Myles leads the B2C teams that are responsible for engaging its members into lifelong health.

Myles Guanzon
https://www.linkedin.com/in/myles-guanzon-9ab50020/

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io
https://www.linkedin.com/company/the-data-standard
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, guests Nathan Gould & Yotam Hadass sit down with TDS to discuss Building a startup data team.

Nathan Gould: https://www.linkedin.com/in/nathanegould/ 

Yotam Hadass: https://www.linkedin.com/in/yotamhadass/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

Today's guest is Pranav Gandhi, Head of Business & Strategy Analytics at Signifyd. Founded in 2011 and headquartered in California's San Jose, Signifyd is the world’s largest provider of guaranteed fraud protection that enables online retailers to provide a friction-free buying experience for their customers.

Signifyd leverages big data, machine learning, and domain expertise to provide a 100 percent financial guarantee against fraud on approved orders that later turn out to be fraudulent. This effectively shifts the liability for fraud away from retailers, allowing them to increase sales and open new markets while reducing risk.

In today's episode, Pranav tells us about:

Pranav Gandhi

https://www.linkedin.com/in/pranav-gandhi-55798029/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

Ben Nichols is the Head of Product at IMS, Inc. Based in Liverpool, New York, IMS, Inc. is a fully integrated service provider of Conversational AI, Robotic Process Automation (RPA), Payments, Print, Electronic, and Mobile Communications. 

Ben is also an Adjunct Professor of Data Science at Syracuse University, where he conducts lectures on Natural Language Processing, Database Design, and Scripting for Data Science. 

Prior to that, Ben was Senior Director of Customer Insights at CB4, an AI tool that helps retailers uncover and fix the costliest in-store issues. 

At CB4, Ben led a team of insights managers, sales solution architects, and data engineers who were responsible for multi-million dollar customer retention, customer upsells, and fulfilling new revenue goals. 

Before CB4, Ben worked in multiple data intelligence and business analytics roles at organizations like IBM and Morgan Stanley. 

In this exclusive episode, Ben Nichols shares with us the following aspects of his life and career:

Ben Nichols

https://www.linkedin.com/in/ben-nichols/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

Zehra Hussain, Director of Engineering & Intelligence at Shippo , sits down with TDS to discuss How to establish Machine Learning in a business.

Zehra Hussain

https://www.linkedin.com/in/zehra-ali-a272583/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

Data drives the digital economy. Okay, that you know — but the big question is how to maximize your data and analytics efforts to both thrive as an organization and get an edge on the competition? What does it mean to be a truly data-driven enterprise? Gartner analyst Sumit Agarwal looks at the drivers for the rising importance of data and analytics.

Sumit Agarwal

https://www.linkedin.com/in/sumit-agarwal-4b45b71/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

Insurance organizations have recently been navigating a number of talent shifts in a short amount of time. Organizations that did not previously have remote work strategies in place have had to quickly implement programs and launch new technologies to ensure business continuity in a virtual environment. For some companies, employees are continuing to work remotely, while others are seeing their workforces return to the office at a measured pace. Recruiting is being done in a primarily virtual environment and company culture is being redefined. As insurance organizations work to understand the short- and long-term impact of the evolving state of business on their teams, data and analytics can provide the insights necessary for navigating next steps and making informed talent decisions.

People analytics is at the crux of modern workforce management. Human resources departments operate as a strategic function, collecting workforce data and analyzing it in order to improve the performance of their business and influence their decisions and paths forward. Through data and analytics, HR teams can predict future workforce needs, identify flight risks, track career development progress, understand productivity trends and determine employee engagement levels, among many other metrics.

Karl Honerlaw, Assistant Director, Data Science at Liberty Mutual Insurance, sits down with TDS to discuss Talent analytics.

Karl Honerlaw

https://www.linkedin.com/in/karl-honerlaw-6916713b/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q 

There’s no doubt that there’s a growing need and reliance on data science in different industries and as a result the role of data scientists within organizations is becoming increasingly important. Of course, the definition of a data scientist and what this role typically encompasses varies greatly, and in light of this new trend, and in this podcast, we are speaking to Marty Belafsky, Vice President, Statistical Analytics and Data Science at Equifax, to learn a little bit more about data scientists and how the roles of data scientists have been elevated.

Mike Catanese

https://www.linkedin.com/in/mike-catanese-he-him-21a6412/ 

The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.

https://datastandard.io 

https://www.linkedin.com/company/the-data-standard 

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q ,