The intelligence demonstrated by machines is known as Artificial
Intelligence. Artificial Intelligence has grown to be very popular in
today’s world. It is the simulation of natural intelligence in machines
that are programmed to learn and mimic the actions of humans. These
machines are able to learn with experience and perform human-like tasks.
As technologies such as AI continue to grow, they will have a great
impact on our quality of life. It’s but natural that everyone today
wants to connect with AI technology somehow, may it be as an end-user or
pursuing a career in Artificial Intelligence. Advances in artificial
intelligence are likely to herald an unprecedented period of rapid
innovation and technological change, which will fundamentally alter
current industries and the economy. What is different to previous
periods of technological progress is the speed at which these
developments are happening and the extent to which they will shape
markets around the world. How will they affect prosperity and
inequality? How can AI be deployed for the greater good and to improve
economic outcomes?

Sarah Hoffman
https://www.linkedin.com/in/sarahfhoffman/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

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

Nearly all businesses around the world have undergone an organizational
change in one way or another during the last year. As nations begin to
heal, talks of the “new normal” beyond the pandemic are starting to look
like a realistic possibility rather than a far-off dream. For many
businesses, it is unclear what this post-pandemic working world might
look like. However, change is on the horizon, and managing this next
stage effectively will either make or break an organization. In order to
make this transition as smooth as possible, businesses need to
implement compelling and practical Change Management strategies that can
guide them through this next phase. Michael Gonzales, Chief Data
Scientist at Prolifics, sits down with TDS to discuss his views on
companies jumping too quickly into reformative changes.

Michael Gonzales
https://www.linkedin.com/in/michael-gonzales-231b9085/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

Most marketing teams are leaving a lot of money on the
table. Brands are collecting an extensive amount of data at various
stages of the customer journey. Data science helps us leverage this data
into actionable insight that results in a greater return on
investment. 

Data science methods like machine learning,
clustering, and regression have moved marketing from a creative domain
to a scientific one. By leveraging data science, marketing teams can
extend their top-funnel approach to incorporate the full-funnel and
uncover product and customer insights at scale in an unprecedented way.
To do this, growth marketers should understand what data scientists can
and cannot do as well as some of the methods and how marketing teams use
data scientists.

 
Alexander Liss
https://www.linkedin.com/in/aliss77777/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/ 

In this episode, guest Matthew Busbee sits down with TDS to discuss the
decisions his company is making in regards to moving data to cloud
platforms as well as choosing whether to delete data.

Matthew Busbeeb
linkedin.com/in/mbusbee

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

In the midst of a global COVID-19 pandemic, a top priority for many
pharma and biopharma companies is to get a vaccine developed, produced,
and delivered to the public as quickly as possible. Ushering a vaccine
through rigorous testing protocols and regulatory approvals is not an
easy (or quick) effort, but incorporating advanced data analytics could
help accelerate the process. Data analytics has proven effective in
speeding vaccine development both by enabling more efficient Design of
Experiments (DOE) and by creating rapid-scale production rollout
processes. Tomasz Adamusiak, Director of Data Science at Pfizer sits
down with TDS to explain what his company, Pfizer, is doing with the
vaccine as well as what a designed vaccine is.

Tomasz Adamusiak
https://www.linkedin.com/in/adamusiak/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

Aristotle Socrates, Head of Data at TextNow, sits down with TDS to
discuss his views on machine learning, ai, and what he deems was the
most important trend of the last 20 years.

Aristotle Socrates
https://www.linkedin.com/in/aristotle-socrates-9066271b/

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

Gal Klein (CTO) is the co-founder of Audioburst. We discuss analyzing,
segmenting, packaging and making talk audio content discoverable in
real-time. Audioburst is doing this daily on millions of minutes of
radio and podcast content and the same technology could be applied to
social audio.

Gal Klein
https://www.linkedin.com/in/gal-klein-026873a/

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

Eitan Anzenberg, Chief Data Scientist at Bill.com, sits down with TDS to
discuss his work life, mentorship, and kindness within the valley
community.

Eitan Anzenberg
https://www.linkedin.com/in/eitan-anzenberg-5639b444/

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

Today's guest is the great and brilliant Dr. Pavel Dmitriev, VP of Data
Science at Outreach.io. This AI-driven sales engagement platform has
raised over $250 million since founded in 2011. We talk about all
things. Sales engagement- and one thing- that's really interesting in
this podcast- is how we get better at doing sales engagement. Sales
engagement is not simple for a variety of reasons. Approaching one cold
prospect in a way that increases the chance of their conversion is
challenging enough — handling the logistics of hundreds or thousands of
leads is exponentially harder. That’s why software platforms with email
marketing automation features—outreach among them—serve to simplify the
process. There are plenty of solutions for sales management that provide
autoresponder features, but the real question is—are these templated
responses organic enough to enable high conversion rates?

Pavel Dmitriev
https://www.linkedin.com/in/paveldmitriev/

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

Discussions about learning to code and working as a programmer often
focus on the perks and benefits associated with the field—things like
flexible job schedules, high pay (even for entry-level positions), and
opportunities to work remotely. But what about the job itself? From the
outside looking in, coding can seem like endless hours of typing
gibberish onto a computer screen—a task that, quite frankly, sounds
pretty boring. Do coders put up with fundamentally boring work just to
get those perks and benefits? Or is the work of coding significantly
different than what a newcomer might think? To get a solid answer, we
spoke with Cary Huang. The short answer to the question “is coding
boring?” is—quite simply—”no.” Of course personal preferences can vary,
but coding is so not boring for so many people that you’ll even find
coders jumping to the profession from much flashier sounding
backgrounds.
In this episode, guest Cary Huang sits down with TDS to
discuss what he does to make coding an exciting thing to watch. We tried
to round up some essential tips to help you have fun while programming
in this podcast.

Cary Huang
https://www.linkedin.com/in/cary-huang-119637139/

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