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Future-Proof Yourself from AI | @CloudExpo #AI #ML #DX #ArtificialIntelligence
It may not have been ‘The Matrix,’ but the machines look like they are finally poised to take our jobs

It’s all over for us humans. It may not have been “The Matrix”[1], but the machines look like they are finally poised to take our jobs. Machines powered by artificial intelligence and machine learning process data faster, aren’t hindered by stupid human biases, don’t waste time with gossip on social media and don’t demand raises or more days off.

While there is a high probability that machine learning and artificial intelligence will play an important role in whatever job you hold in the future, there is one way to "future-proof" your career...embrace the power of design thinking.

Figure 1:  Is Artificial Intelligence Putting Humans Out of Work?

I have written about design thinking before (see the blog “Can Design Thinking Unleash Organizational Innovation?”), but I want to use this blog to provide more specifics about what it is about design thinking that can help you to harness the power of machine learning…instead of machine learning (and The Matrix) harnessing you.

The Power of Design Thinking
Design thinking is defined as human-centric design that builds upon the deep understanding of our users (e.g., their tendencies, propensities, inclinations, behaviors) to generate ideas, build prototypes, share what you’ve made, embrace the art of failure (i.e., fail fast but learn faster) and eventually put your innovative solution out into the world.  And fortunately for us humans (who really excel at human-centric things), there is a tight correlation between the design thinking and the machine learning (see Figure 2).

Figure 2: Integrating Machine Learning and Design Thinking

In fact, integrating design thinking and machine learning can give you “super powers” that future-proof whatever career you decide to pursue. To meld these two disciplines together, one must:

  1. Understand where and how machine learning can impact your business initiatives. While you won’t need to write machine learning algorithms (though I wouldn’t be surprised given the progress in “Tableau-izing” machine learning), business leaders do need to learn how to “Think like a data scientist” in order understand how machine learning can optimize key operational processes, reduce security and regulatory risks, uncover new monetization opportunities. See the blog “What tomorrow’s business leaders need to know about Machine Learning?” for more about machine learning.
  2. Understand how design thinking techniques, concepts and tools can create a more compelling and emphatic user experience with a “delightful” user engagement through superior insights into your customers’ usage objectives, operating environment and impediments to success.

Let’s jump into the specifics about what business leaders need to know about integrating design thinking and machine learning in order to provide lifetime job security (my career adviser bill will be in the mail)!

Warning:  University of San Francisco MBA students, expect this material on your next test!!

Note: Many of the graphics in this blog come from the most excellent book “Art of Opportunity Toolbox”. The book “The Art of Opportunity: How to Build Growth and Ventures Through Strategic Innovation and Visual Thinking” is a must read for anyone serious about learning more about design thinking.

Step 1:  Empathize and Analyze
The objective of the “Emphasize and Analyze” step is to really, and I mean really, understand your users, and to build a sense of empathy for the challenges and constraints that get in their way: Who is my user? What matters to this person? What are they trying to accomplish? What are their impediments to success? What frustrates them today? This step captures what the user is trying to accomplish (i.e., tasks, roles, responsibilities and expectations) versus what they are doing. Walk in your users’ shoes by shadowing them, and where possible, actually become a user of the product or service.

A useful tool for “Emphasize and Analyze” step is the Persona. A Persona is a template for capturing key user operational and usage requirements including the job to be done, barriers to consumption and hurdles to user satisfaction (see Figure 3).

Figure 3:  Persona Template

The Persona template in Figure 3 is one that we use in our Vision Workshop engagements to capture the decisions that the key business stakeholders are trying to make – and the associated pain points – in support of the organization’s key business initiatives.

How does the “Emphasize and Analyze” step apply to Design Thinking and Machine Learning?

  • Design Thinking – understand and capture the user’s task objectives, operational requirements and impediments to success; learn as much as possible about the users for whom you are designing.
  • Machine Learning – Capture and prioritize the user’s key decisions; capture the variables and metrics that might be better predictors of those decisions.

Step 2:  Define and Synthesize
The “Define and Synthesize” step starts to assemble an initial Point of View (POV) regarding the user’s needs: What capabilities are the user going to need? In what type of environment will the user be working? What is likely to impede the execution of their job?  What is likely to hinder adoption?

Sharing your POV and getting feedback from key constituencies is critical to ensuring that you have properly defined and synthesized the requirements and potential impediments.  Use the Opportunity Report to document the story, gather feedback and input from your constituencies, and refine your thinking regarding the solution (see Figure 4).

Figure 4:  Opportunity Report

How does the “Define and Synthesize” step apply to Design Thinking and Machine Learning?

  • Design Thinking – define, document and validate your understanding of the user’s task objectives, operational requirements and potential impediments. Don’t be afraid of being wrong.
  • Machine Learning – synthesize your understanding of the decisions (e.g., latency, granularity, frequency, governance, sequencing) in order to flesh out the potential variables and metrics, and assess potential analytic algorithms and approaches.

Step 3:  Ideate and uh… Ideate
The “Ideate and Ideate” step is all about… ideate! This is a chance to gather all impacted parties, stakeholders and other key constituents and leverage facilitation techniques to brainstorm as many creative solutions to the users’ needs and impediments as possible.  Exploit group brainstorming techniques to ideate, validate and prioritize the usage and operational requirements, document those requirements in a Strategy Report and identify supporting operational and performance metrics (see Figure 5).

Figure 5:  Strategy Map

It is useful to make use of storyboards to refine your thinking in Step 3. A storyboard is a graphic rendition and sequencing of the usage of the solution in the form of illustrations displayed as a story (see Figure 6).

Figure 6:  User Experience Storyboard Example

Storyboards are an effective and efficient way to communicate a potential experience and approach for your users to review and provide feedback. Storyboarding can provide invaluable insights into usage behaviors and potential impediments without writing any code (said as if coding is something evil)!

While it would be nice to be an accomplished sketcher, even rough sketches can be an invaluable – and fast – way to gather feedback on the user experience and product design (see Figure 7).

Figure 7:  Power of Sketching

How does the “Ideate and Ideate” step apply to Design Thinking and Machine Learning?

  • Design Thinking – brainstorm as many potential solutions as possible. Diverge in your brainstorming (“all ideas are worthy of consideration”) before you converge (priority those best ideas based upon potential business and customer value and implementation feasibility).
  • Machine Learning – start piloting potential analytic models and algorithms with small sample data sets to see what types of insights and relationships are buried in the data. Capture and refine the hypotheses that you want to test.

Step 4:  Prototype and Tune
The “Prototype and Tune” step starts to build the product and supporting analytics. Start to model your ideas so that you can validate usage and navigational effectiveness and identify the metrics against which usage and navigational effectiveness will be measured.  Wireframe and mockups are useful tools that can be used to validate product usage and navigation effectiveness (see Figure 8).

Figure 8:  Interactive Mockups

How does the “Prototype and Tune” step apply to Design Thinking and Machine Learning?

  • Design Thinking – create one or more interactive mockups with which your key constituents can “play”. Study users’ interactions with the mockups to see what works and where they struggle.  Identify what additional design guides and/or analytics insights could be provided to improve the user experience.
  • Machine Learning – Identify where analytic insights or recommendations are needed – and what additional data can be captured – as the users “play” with the mockups. Explore opportunities to delivery real-time actionable insights to help “guide” the user experience.  Fail fast, but learn faster!  Embrace the “Art of Failure.”

Step 5:  Test and Validate
The “Test and Validate” step seeks to operationalize both the design and analytics. But step 5 is also the start of the continuous improvement process from the user experience and analytic model tuning perspectives. Instrumenting or tagging the product or solution becomes critical so that one can constantly monitor its usage: What features get used the most? What paths are the most common? Are there usage patterns that indicate that users are confused? Are their usage paths from which users “eject” and never return?

Step 5 is also where product usage and decision effectiveness metrics can be used to monitor and ultimately improve the user experience. Web Analytics packages (like Google Analytics in Figure 9) provide an excellent example of the type of metrics that one could capture in order to monitor the usage of the product or solution.

 

Figure 9:  Google Web Analytics

Web analytic metrics like New Visits, Bounce Rate and Time On Site are very relevant metrics if one is trying to measure and improve the usage and navigational effectiveness of the product or solution.

How does the “Test and Validate” step apply to Design Thinking and Machine Learning?

  • Design Thinking – monitor usage and navigational metrics to determine the effectiveness of the product or solution. Create a continuous improvement environment where usage and performance feedback can be acted upon quickly to continuously improve the product’s design.
  • Machine Learning – exploit the role of “Recommendations” to improve or guide the user experience. Leverage the “wisdom of crowds” to continuously fine-tune and re-tune the supporting analytic models predictive and prescriptive effectiveness.

Design Thinking + Machine Learning = Game Changing Potential
I know that I am probably preaching to the choir here, but I am advising my students and my own kids about the power of integrating Design Thinking and Machine Learning. As an example, my son Max is creating the “Strong by Science” brand by integrating the disciplines of Kinesoleogy with Data Analytics. Heck, he’s even written his first book on the topic (which is probably one more book than he actually read his entire high school career). Check out “Applied Principles of Optimal Power Development.”

But it’s also not too late for us old codgers to also embrace the power of integrating design thinking with machine learning. If you don’t, well, then enjoy being  a human battery powering “The Matrix”…

[1] Sentient machines created “The Matrix” to subdue the human population and use the humans as a source of energy.

The post Design Thinking: Future-proof Yourself from AI appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

About William Schmarzo
Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Dell EMC’s Big Data Practice.

As a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-
JOVIC

AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLAL-
ANTORIO

DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBA-
CHEV

Intelligent
Systems

THYKAT-
TIL

Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOM-
BERG

Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCIN-
INNI

EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMING-
HAM

SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

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Cloud Expo Show Guide
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Join Us as a Media Partner - Together We Can Rock the IT World!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email Patricia Henderson at patricia@sys-con.com.

@CloudExpo Blogs
DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the 22nd International CloudEXPO | DXWorldEXPO "Early Bird Registration" is now open. Register for Full Conference "Gold Pass" ▸ Here (Expo Hall ▸ Here)
FinTechs use the cloud to operate at the speed and scale of digital financial activity, but are often hindered by the complexity of managing security and compliance in the cloud. In his session at 20th Cloud Expo, Sesh Murthy, co-founder and CTO of Cloud Raxak, showed how proactive and automated cloud security enables FinTechs to leverage the cloud to achieve their business goals. Through business-driven cloud security, FinTechs can speed time-to-market, diminish risk and costs, maintain continuous compliance, and set themselves up for success.
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enterprise.
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examining how the Internet and the cloud has allowed for the democratization of IT, resulting in an increa...
DXWorldEXPO LLC announced today that ICC-USA, a computer systems integrator and server manufacturing company focused on developing products and product appliances, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City. ICC is a computer systems integrator and server manufacturing company focused on developing products and product appliances to meet a wide range of computational needs for many industries. Their solutions provide benefits across many environments, ...
The taxi industry never saw Uber coming. Startups are a threat to incumbents like never before, and a major enabler for startups is that they are instantly “cloud ready.” If innovation moves at the pace of IT, then your company is in trouble. Why? Because your data center will not keep up with frenetic pace AWS, Microsoft and Google are rolling out new capabilities. In his session at 20th Cloud Expo, Don Browning, VP of Cloud Architecture at Turner, posited that disruption is inevitable for companies that refuse to embrace the cloud and the culture shift that comes along with it.
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering management. To date, IBM has launched more than 50 cloud data centers that span the globe. He has bee...
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or personal computing needs.
"This all sounds great. But it's just not realistic." This is what a group of five senior IT executives told me during a workshop I held not long ago. We were working through an exercise on the organizational characteristics necessary to successfully execute a digital transformation, and the group was doing their ‘readout.' The executives loved everything we discussed and agreed that if such an environment existed, it would make transformation much easier. They just didn't believe it was realistic.
HyperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let's say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it. This meant that up to now the HyperConverged vendors were in charge of the requirements.
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. SD-WAN helps enterprises to take advantage of the exploding landscape of cloud applications and serv...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power the organization's key ...
This week I had the privilege of interviewing Christine Ashton, SAP's Global CDO, Digital Office, ERP Cloud. In this interview, we dig deep into her insights on digital transformation, AI, automation and the economic case for running ERPs in the cloud, plus what it takes to win in a fast changing technology environment. Enjoy!
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, discussed the transformational impact of Artificial Intelligence and Deep Learning in maki...
Evan Kirstel is an internationally recognized thought leader and social media influencer in IoT (#1 in 2017), Cloud, Data Security (2016), Health Tech (#9 in 2017), Digital Health (#6 in 2016), B2B Marketing (#5 in 2015), AI, Smart Home, Digital (2017), IIoT (#1 in 2017) and Telecom/Wireless/5G. His connections are a "Who's Who" in these technologies, He is in the top 10 most mentioned/re-tweeted by CMOs and CIOs (2016) and have been recently named 5th most influential B2B marketeer in the US. His social media "Klout"​ score is 81 and rising!
Enterprises are moving to the cloud faster than most of us in security expected. CIOs are going from 0 to 100 in cloud adoption and leaving security teams in the dust. Once cloud is part of an enterprise stack, it’s unclear who has responsibility for the protection of applications, services, and data. When cloud breaches occur, whether active compromise or a publicly accessible database, the blame must fall on both service providers and users. In his session at 21st Cloud Expo, Ben Johnson, Co-Founder and CTO of Obsidian Security, explored how both groups must do more to make cloud more sec...
In his session at 21st Cloud Expo, James Henry, Co-CEO/CTO of Calgary Scientific Inc., introduced you to the challenges, solutions and benefits of training AI systems to solve visual problems with an emphasis on improving AIs with continuous training in the field. He explored applications in several industries and discussed technologies that allow the deployment of advanced visualization solutions to the cloud.
Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Cognitive analysis impacts today’s systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant that knows everything and can respond to your emotions and verbal commands!
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
I think DevOps is now a rambunctious teenager - it's starting to get a mind of its own, wanting to get its own things but it still needs some adult supervision," explained Thomas Hooker, VP of marketing at CollabNet, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.