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An audio podcast exploring the future of being creative. We interview thought leaders, showcase technologies and uncover how you can make your music, film and digital media more future-friendly.

Episode #3 Featuring:

Phil Simon 


News links:

5:43 – Okay Player
http://www.okayplayer.com/

6:39 – Jordan Rudess
http://www.jordanrudess.com

6:43 – Pledge Music 
http://www.pledgemusic.com

6:49 – Zack Braff
http://huff.to/1hYhO7a

6:54 – Veronica Mars
http://huff.to/OafbVq

7:08 – Marillion 
http://marillion.com/, http://bit.ly/1kG4Uyg

7:30 – Jon Collins, “Separated Out” 
http://amzn.to/1oD8NkM

9:53 – Porcupine Tree
http://www.porcupinetree.com/



Please comment, like and share us!

You can also follow our daily posts on the future of creative media at www.twitter.com/mandevillecyn

Peter Petro, Producer 
Media consultant specializing in branded content, platform strategy and next-generation artist development
www.linkedin.com/in/gfpeterpetro 
www.artofmusicla.com

Mariana Angeles, Assistant Producer

Music courtesy of Basspartout 
“Digital Dream” 
@basspartout
Twitter: @basspartout_de 
www.basspartout.com 
www.luckstock.com/users/portfolio/…?ref=Basspartout

The Age of the Platform...and Planks

This podcast/discussion explores data science techniques and their applications in solving real-world problems across various industries. It provides practical examples and data science methodologies used in fields like healthcare, environmental sustainability, social impact initiatives, business optimization, financial services, and technology and user experience enhancement. 

Learn these data science techniques: https://www.mygreatlearning.com/data-science/courses

Data Science Techniques for Solving Real-World Problems

-Predicting the preferences of recipients (the unknown customer)
-Rewards, free-shipping, prime programs, or all the above? Why having multiple programs can boost customer retention
-Expanding your florist network of local partners to deliver quicker
-Exceeding expectations through predictive analytics


ACF2015: Doubling Loyalty - Sandeep Varma, VP of Enterprise, CRM, and Loyalty of 1-800-Flowers

Every organization these days is clear about the need to get its data act together. But that doesn’t mean the path toward data bliss is clear. Data has gravity. It resides in different places at different organizations -- on premise, in the cloud, and flowing from external sources. And the rate of change within organizations is always different. So an approach towards handling data that works for one company may be the exact wrong thing for yours.

Steven Sinofsky leads a conversation with three founders -- Prat Moghe, from Cazena; Gaurav Dhillon from SnapLogic, and Roman Stanek from GoodData – about the opportunity and variety of ways forward for companies looking to make the most of the data that matters.

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The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Making the Most of the Data That Matters

In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data. They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services.

Understanding Predictive Analytics

In this episode, I interview Derek Steer (co-founder/CEO at Mode).

You Will Learn: 
- Why Derek doesn’t call himself a “data scientist”
- The founding story of Mode Analytics. A “crucible moment” / challenge along the way
- What Mode is and who uses it
- The most common misconceptions about analytics
- What makes an analytics team great
- How analytics teams can help others use data more often in decision making
- The skills that data people need to foster to become team leaders (eg “don’t be a house”)
- How data analysts and data scientists can make their case to get investment into the tools they need
- Derek’s purpose
- The book Derek gives most often
- AND much more :)

Meet Derek Steer:
Derek Steer is the CEO of Mode, a startup enabling analysts and data scientists to share and discover work. With Mode, analysts are more productive and connected, both publicly within the data community and privately within their organizations. Before co-founding Mode in 2013, Derek was an early member of Yammer’s Analytics team, where he led sales and monetization analytics. Derek has also worked in antitrust economics and on the monetization analytics team at Facebook.

Episode 6 - Derek Steer

In this episode Sam discusses:

Getting marketing teams to understand the results from their tools
The unique challenges of being the largest install for a SaaS vendor
Using governance to hold the ship together while remaining agile

Sam Usem of 3M - Digging Into The Data, Managing Massive Installs, and Staying Agile

"Propensity-to-Buy, in its simplest form, Brenda dear, is a way of identifying customers that are likely to buy your product” 

Our resident OAP  Brenda Smith, cuts the BS in marketing and discusses Propensity To Buy with the help of Matthew Stevens, Global MD, MOI Global, Jon Clarke,  CEO, Cyance, who's predictive analytics technology helps B2B brands predict customer buying behavior & Caroline Lotinga, Client Strategy Director, MOI Global.

Brenda Keeps It Real.  Episode 1 - Propensity To Buy

It’s not what you know; it’s who you know. Or more accurately, it’s who you and your employees and co-workers know. Everyone in your organization has connections to hundreds of other people. Not all of those people will be links to possible sales, but it makes sense to pay attention to existing connections between members of your company and your potential target accounts. If you take a look at who people in your company already know, you may be able to double your business just by activating those existing relationships. In this episode, Steve Amedio, CEO at TKXS, explains how his company is harnessing the power of who they know to increase business and revenue.

5: How to Harness the Power of Who You Know w/ Steve Amedio

Predictive analytics has invaded almost all businesses and industries across the world including real estate. From lead generation to property assessment to buyer-to-seller matching and closing deals, agents use predictive analytics to do more business in less time. This blog gives you in-depth details about how this technology is used effectively in the real estate industry.
Read More :  https://bizzmanweb.sg/predictive-analytics-for-real-estate-a-deep-look/

Created: 4/20/2020 3:56:48 AM

Predictive Analytics for Real Estate – A Deep Look

"Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions.

The America's Customer Festival and Loyalty World shows bring together attendees from a full spectrum of industries including retail, hospitality, travel, ecommerce, education, entertainment, leisure, finance, healthcare, FMCGs and telecoms, to discover how to exceed expectations when the digital customer is in the driving seat. 

From keynotes to roundtables; we bring you the some of the highlights on dedicated content, big data, omnichannel, and experience.

See more at: http://www.terrapinn.com/americascustomer

Dive deep into the best sales & marketing automation stacks with hosts John J. Wall of Marketing Over Coffee and Sean Zinsmeister of Infer.

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

The a16z Podcast discusses tech and culture trends, news, and the future -- especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!

SUBSCRIBE ON ITUNES @ http://apple.co/1FE0LmO

An audio podcast exploring the future of being creative. We interview thought leaders, showcase technologies and uncover how you can make your music, film and digital media more future-friendly.

BizzmanWeb is a digital technology consulting and services company based in South East Asia. We help large, small, and medium scale enterprises combine scale and agility to achieve competitive advantage.

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