| By Carmen Gonzalez | Article Rating: |
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| March 5, 2017 06:00 AM EST | Reads: |
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Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program!
Accordingly, attendees at the upcoming 20th Cloud Expo at the Javits Center in New York, June 6-8, 2017, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.
FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds.
More than US$20 billion in venture capital is being invested in FinTech this year. Cloud Expo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 20th International Cloud Expo in New York City on June 6-8, 2017.
Cloud Expo is accepting submissions for this new track, so please visit www.cloudcomputingexpo.com for the latest information.

The Resurgence of AI, ML, and DL
By Jnan Dash
We have been seeing a sudden rise in the deployment of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It looks like the long “AI winter” is finally over.
- According to IDC, AI-related hardware, software and services business will jump from $8B this year to $47B by 2020.
- I have also read comments like, “AI is like the Internet in the mid 1990s and it will be pervasive this time”.
- According to Andrew Ng, chief scientist at Baidu, “AI is the new electricity. Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”
- Peter Lee, co-head at Microsoft Research said, “Sales teams are using neural nets to recommend which prospects to contact next or what kind of products to recommend.”
- IBM Watson used AI in 2011, not DL. Now all 30 components are augmented by DL (investment from $500M – $6B in 2020).
- Google had 2 DL projects in 2012, now it is more than 1000 (Search, Android, Gmail, Translation, Maps, YouTube, Self-driving cars,..).
It is interesting to note that AI was mentioned by Alan Turing in a paper he wrote back in 1950 to suggest that there is possibility to build machines with true intelligence. Then in 1956, John McCarthy organized a conference at Dartmounth and coined the phrase Artificial Intelligence. Much of the next three decades did not see much activity and hence the phrase “AI Winter” was coined. Around 1997, IBM’s Deep Blue won the chess match against Kasparov. During the last few years, we saw deployments such as Apple’s Siri, Microsoft’s Cortana, and IBM’s Watson (beating Jeopardy game show champions in 2011). In 2014, DeepMind team used a deep learning algorithm to create a program to win Atari games.
During the last two years, use of this technology has accelerated greatly. The key players pushing AI/ML/DL are Nvidia, Baidu, Google, IBM, Apple, Microsoft, Facebook, Twitter, Amazon, Yahoo, etc. Many new players have appeared – DeepMnd, Numenta, Nervana, MetaMind, AlchemyAPI, Sentient, OpenAI, SkyMind, Cortica, etc. These companies are all targets of acquisition by the big ones. Sunder Pichai of Google says, “Machine learning is a core transformative way in which we are rethinking everything we are doing.” Google’s products deploying these technologies are Visual Translation, RankBrain, Speech Recognition, Voicemail Transcription, Photo Search, Spam Filter, etc.
AI is the broadest term, applying to any technique that enables computers to mimic human intelligence, using logic, if-then rules, decision trees, and machine learning. The subset of AI that includes abstruse statistical techniques that enable machines to improve at tasks with experience is machine learning. A subset of machine learning called deep learning is composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multi-layered neural networks to vast amounts of data.
I think the resurgence is a result of the confluence of several factors, like advanced chip technology such as Nvidia Pascal GPU architecture or IBM TrueNorth (brain-inspired computer chip), software architectures like microservice containers, ML libraries, and data analytics tool kits. Well-known academia are being heavily recruited by companies – Geoffrey Hinton of University of Toronto (Google), Yann LeCun of New York University (Facebook), Andrew Ng of Stanford (Baidu), Yoshua Bengio of University of Montreal, etc.
The outlook of AI / ML / DL is very bright and we will see some real benefits in every business sector.

The World's Largest "Cloud Digital Transformation" Event
@CloudExpo / @ThingsExpo 2017 New York
(June 6-8, 2017, Javits Center, Manhattan)
@CloudExpo / @ThingsExpo 2017 Silicon Valley
(Oct. 31 - Nov. 2, 2017, Santa Clara Convention Center, CA)

Sponsorship Opportunities
Sponsors of Cloud Expo / @ThingsExpo will benefit from unmatched branding, profile building and lead generation opportunities through:
- Featured on-site presentation and ongoing on-demand webcast exposure to a captive audience of industry decision-makers
- Showcase exhibition during our new extended dedicated expo hours
- Breakout Session Priority scheduling for Sponsors that have been guaranteed a 35 minute technical session
- Online targeted advertising in SYS-CON's i-Technology Publications
- Capitalize on our Comprehensive Marketing efforts leading up to the show with print mailings, e-newsletters and extensive online media coverage
- Unprecedented Marketing Coverage: Editorial Coverage on ITweetup to over 100,000 plus followers, press releases sent on major wire services to over 500 industry analysts
For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez (@GonzalezCarmen) today by email at events (at) sys-con.com, or by phone 201 802-3021.
Secrets of Sponsors and Exhibitors ▸ Here
Secrets of Cloud Expo Speakers ▸ Here
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.

Track 1. FinTech
Track 2. Enterprise Cloud | Digital Transformation
Track 3. DevOps, Containers & Microservices
Track 4. Big Data | Analytics
Track 5. Industrial IoT
Track 6. IoT Dev & Deploy | Mobility
Track 7. APIs | Cloud Security
Track 8. AI | ML | DL | Cognitive Computing
Delegates to Cloud Expo / @ThingsExpo will be able to attend 8 simultaneous, information-packed education tracks.
There are over 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.
Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and 'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets.

Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program!
Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.
FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds.
More than US$20 billion in venture capital is being invested in FinTech this year. @CloudExpo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 20th International Cloud Expo June 6-8, 2017 in New York City and October 31 - November 2, 2017 in Silicon Valley.
@CloudExpo is accepting submissions for this new track, so please visit www.CloudComputingExpo.com for the latest information.
Speaking Opportunities
The upcoming 20th International @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.
Submit your speaking proposal today! ▸ Here
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About SYS-CON Media & Events
SYS-CON Media (www.sys-con.com) has since 1994 been connecting technology companies and customers through a comprehensive content stream - featuring over forty focused subject areas, from Cloud Computing to Web Security - interwoven with market-leading full-scale conferences produced by SYS-CON Events. The company's internationally recognized brands include among others Cloud Expo® (@CloudExpo), Big Data Expo® (@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo® (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE).
Cloud Expo®, Big Data Expo® and @ThingsExpo® are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company.
Published March 5, 2017 Reads 19,494
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More Stories By Carmen Gonzalez
Carmen Gonzalez is the co-founder, president, and CEO of SYS-CON Media, Cloud Expo, Inc. and Ulitzer, Inc.
Carmen has been in charge of SYS-CON's sales and marketing functions since 1994. Under her leadership, the company was named by Inc 500, among the fastest growing 500 privately held companies in North America three years in a row.
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By Elizabeth White In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential.
Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...Feb. 16, 2019 04:45 PM EST Reads: 14,062 |


At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential.
Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
With the rise of Docker, Kubernetes, and other container technologies, the growth of microservices has skyrocketed among dev teams looking to innovate on a faster release cycle. This has enabled teams to finally realize their DevOps goals to ship and iterate quickly in a continuous delivery model. Why containers are growing in popularity is no surprise — they’re extremely easy to spin up or down, but come with an unforeseen issue.
However, without the right foresight, DevOps and IT teams may lose a lot of visibility into these containers resulting in operational blind spots and even more haystacks to find the presumptive performance issue needle.
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DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE).
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Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, ...
If you are part of the cloud development community, you certainly know about “serverless computing,” almost a misnomer. Because it implies there are no servers which is untrue. However the servers are hidden from the developers. This model eliminates operational complexity and increases developer productivity.
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