The Data Standard

Our guest, Stas Zhukovskiy, explains that the Solutions Engineering team is there to help customers choose appropriate products for things like security, analytics, data management, and more. The products are laid out in guides and blueprints so the client can easily understand why products are chosen and how to use them. In this episode, guest Stas Zhukovskiy sits down with TDS to discuss his career in solutions engineering and the ins and outs of the industry.

Stas Zhukovskiy
https://www.linkedin.com/in/stzhuk/

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

We don’t often think about how easy it is for humans to understand language. In everyday conversation, we convey meaning without considering how our brains translate so much unstructured data into useful information. For machines, however, understanding human speech and language is very hard. Natural language processing, or NLP, is a field concerned with enabling machines to understand human language.

In this episode, guest Sinan Ozdemir sits down with TDS to discuss the use of natural language processing in the industry. We focus on how to design and implement conversational AI algorithms, how to successfully integrate them, the hard and soft skills you need for a career in natural language processing, and more!

Sinan Ozdemir

https://www.linkedin.com/in/sinan-ozdemir/ 

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 is the foundation of today’s business world. Each day, organizations get to interact with data concerning customers, vendors, security, and even employees. Luckily, it is those businesses that can separate the wheat from the chaff in their data mines that can harness the power that lies in data analytics. When used wisely, data can be a driver of change in your business, both by unveiling opportunities and pointing out problematic areas. This trickles down to how you collect and analyze your data. In this episode, guest Walt Gorman sits down with TDS to discuss the use of data in growing companies from a business owner's perspective.

Walt Gorman

https://www.linkedin.com/in/walt-gorman/ 

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 today’s information-driven business environment, data is the fuel for growth. The more decision-makers know about their employees’ needs, changes in the industry, and the demands of customers, the more prudently they can strategize for future expansion. Big data has unlocked fresh possibilities, providing remarkable insights into market conditions and a heightened awareness of unfolding opportunities.

Collecting large quantities of data and finding analytical insights has become an integral part of how organizations of all kinds evaluate their progress and develop growth strategies. With the tremendous capacities for storing information in cloud-based solutions, businesses have the means to acquire a more detailed understanding of everything from the efficiency of manufacturing to the effectiveness of marketing campaigns.

Organizations can draw on data tools to discover areas that are currently ripe for improvement and garner a peek at the challenges and opportunities that lie ahead. With predictive analytics and machine-learning systems, businesses gain a sense of how existing problems or emerging ideas for growth will play out in the future. Those findings allow leaders to make smarter decisions and achieve long-term, sustainable success. In this episode, guest Dave Cook sits down with TDS to discuss how emerging companies should use their data.

Dave Cook

https://www.linkedin.com/in/cookdave703/ 

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 

As the Global Artificial Intelligence Lead and innovation lead within PwC’s Emerging Technology practice, Dr. Anand S. Rao is responsible for research and commercial relationships with academic institutions and start-ups, research, development, and commercialization of innovative AI, big data, and analytic techniques. With over 35 years of industry and consulting experience, he leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. Drawing from his Ph.D. and research career in AI, as well as his subsequent experience in management consulting, Anand sits down with TDS to discuss the commitment to responsible ai.

Anand Rao

https://www.linkedin.com/in/anandsrao/ 

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, we were honored to welcome as our guest Anita Ward, an applied anthropologist and Chief Development Officer of Salary Finance. Our conversation with Anita was about so much more than Anthropology and data. We talked about Salary Finance’s social purpose and how their work is bringing financial literacy and financial dignity to millions of people. Anita started by graciously sharing her emotional story of growing up without a home address. She got her first taste of financial empowerment from her first job at a McDonald’s in Las Vegas at just fifteen years old. Watching her parents struggle to find their financial footing, Anita knows firsthand the insecurity and taboo that surrounds families who experience financial hardship. She also shares new research that shows just how much employees’ financial stress is costing employers and what they can do about it. We’ll chat about how Salary Finance’s financial tools and borrowing options are helping employees rebuild their finances and their credit.

Anita Ward

https://www.linkedin.com/in/anita-ward-4567a39/ 

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, data, data — it’s long been a buzzword in the industry, whether big data, streaming data, data analytics, data science, even AI & machine learning — but data alone is not enough: it takes an entire system of tools and technology to extract value from data.

We have access today to more data than ever before. The question is: how do we make the most of it? For many, the biggest challenge lies in finding a data integration tool that can manage and analyze many types of data from an ever-evolving array of sources. But before that data can be analyzed or used, it must first be extracted. In this episode, guest Daniel Deychakiwsky sits down with TDS to discuss data extraction and digital signal processing.

Daniel Deychakiwsky

https://www.linkedin.com/in/danieldeychak

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 

Artificial Intelligence can be found in every aspect of our lives. From A-level grade predicting algorithms to Netflix recommendations, AI is set to change the choices we make and how our personal information will be used. In this episode, we explore AI techniques - limitations, its potential benefits, and harms - with our guest Carlos Cunha. Carlos received Ph.D. in astrophysics from the University of Chicago. Following a post-doc at the University of Michigan and a Kavli Fellowship at Stanford University, Carlos joined Bosch as a data scientist in 2014.

Carlos Cunha

https://www.linkedin.com/in/carlos-cunha-1121725/ 

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 

Artificial Intelligence can be found in every aspect of our lives. From A-level grade predicting algorithms to Netflix recommendations, AI is set to change the choices we make and how our personal information will be used. In this episode, we explore AI techniques - limitations, its potential benefits and harms - with our guest Carlos Cunha. Carlos received PhD in astrophysics from the University of Chicago. Following a post-doc at the University of Michigan and a Kavli Fellowship at Stanford University, Carlos joined Bosch as a data scientist in 2014.

Carlos Cunha
https://www.linkedin.com/in/carlos-cunha-1121725/

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, data, data — it’s long been a buzzword in the industry, whether big data, streaming data, data analytics, data science, even AI & machine learning — but data alone is not enough: it takes an entire system of tools and technology to extract value from data.

We have access today to more data than ever before. The question is: how do we make the most of it? For many, the biggest challenge lies in finding a data integration tool that can manage and analyze many types of data from an ever-evolving array of sources. But before that data can be analyzed or used, it must first be extracted. In this episode, guest Daniel Deychakiwsky sits down with TDS to discuss data extraction and digital signal processing.

Daniel Deychakiwsky
https://www.linkedin.com/in/danieldeychak/

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