futuristic skills trends · 2 2 use-cases: futuristic skills such as machine learning and...
TRANSCRIPT
November, 2018
Futuristic Skills Trends: Building Talent Pipeline: New age
roles
Draup Point of View
22
Use-cases: Futuristic skills such as Machine Learning and Blockchain are having a high impact in terms of cost savings and increased operational efficiency due to automation across Industries
IMPACT
APPLICATION
MACHINE LEARNING/
ARTIFICIAL INTELLIGENCE
IMPACT
APPLICATION
BLOCKCHAIN
IMPACT
APPLICATION
CYBER SECURITY
IMPACT
APPLICATION
ROBOTICS
IMPACT
APPLICATION
DATA ANALYTICS/
PREDICTIVE MODELLING
• Blockchain Technology could reduce infrastructure costs for Financial Services companies and banks by an average of more than 20%
• Blockchain will drive savings in cross border payments
• SECURITY - Blockchain Technology breaks the vulnerability of breach in banking systems due to centralised database
• KYC - Blockchain allows independent verification of one client by one organisation to be accessed by other organisations
• INCREASED PROCESSING SPEED • AUDIT TRAIL - Transparency of
information and permanence of records makes it impossible to manipulate the data, so banks no longer have to keep redundant audit trails of transactions; the transaction ledger is the audit trail
• Global data breaches has resulted in increase of global spending for Cyber Security to nearly $170 Bn by 2020
• Banks and other financial organizations that leverage RPA realize 75 percent cost-savings
• Firms in the Financial Services industry spent more than $9 Bn on data-related programs in 2017 and such spending is expected to increase at an annual rate of 26 % through 2019
• AI Technologies could reduce annual financial fraud costs of more than $50 Billion in US.
• AUTOMATED AND FAST TRADING SYSTEMS - Blockchain Technology breaks the vulnerability of breach in banking systems due to centralised database
• ACCURATE FRAUD DETECTION -actively learns and calibrates to new potential (or real) security threats
• TREMENDOUS TANGIBLE YIELD IN LOAN/INSURANCE UNDERWRITING
• AUTOMATED SALES/RECOMMENDATIONS OF FINANCIAL PRODUCTS
• BETTER DATA ENCRYPTION METHODS - To reduce loss of financial data
• SOUND STRATEGY FOR CYBERSECURITY - Detect security threat much before deployment of third-party solutions
• CONTROL SOPHISTICATED SPOOFING ATTACKS – Use of multifactor authentication will help control user access and equip your customers with security intelligence.
• AUTOMATED THREAT INTELLIGENCE – Built into devices as a holistic system
• ROBO ADVISORY FOR INVESTMENT TECH, WEALTH MANAGEMENT ETC
• IMPROVED CLAIM PROCESSING –RPA helped increase accuracy and verification speed
• INCREASED OPERATIONAL EFFICIENCY IN CUSTOMER EXPERIENCE
• BRIDGE INTEGRATION GAPS BETWEEN LEGACY SOFTWARE -Financial organizations can expand their fintech footprint with minimal disruptions to existing processes
• BETTER CUSTOMER ANALYTICAL MODELS – 360 degree view to enable cross sell and up sell
• ACHIEVE CUSTOMER INTIMACY –By providing next best action on fraud with real time analysis
• IMPROVED TRADING - Deriving deeper insights into portfolio performance, liquidity positions and working capital requirements
• OPTIMIZED DELINQUENCY MODELS- Better prediction of loan defaults
Note: The represented data has been collected from multiple US government Financial Regulatory Bodies’ websites and Draup Proprietary Database updated as of Aug, 2018.
Source : DRAUP
3
3
“Niche segments where AI is seeing major impact
are Neuroscience (to prevent Alzheimer),
Neurodegenerative diseases, Psychiatry and
Oncology”
Example: Demand from Healthcare industry on AI/ML talent is significant.
Key Players
~2,000 S/W Engineering R&D talent employed by Medical OEMs and Pharma Giants
Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type
~300Neurology Early Clinical Development, Clinical Data Management, Haematology, Cell & Gene
Therapy
~200 Ventricular Assist Devices (VADs), Orthopaedics, Surgeon User Interfaces, Patient Monitoring,
Surgical Technologies, Navigation, Recovery, Surgical Solutions
~130 Neuroscience, Molecular Structure and Characterization, Human Genetics and Functional
Genomics, Cytometry Sciences
Clinical Analysis, Element Analysis
~100 Point-of-Care Solutions, Remote monitoring
~100
~200Bioinformatics, Neurodegeneration, Neurology Discovery and Development, Urology and Pelvic Health, Endoscopy, Electrophysiology
~200 Neurology and Therapeutics
S/W HeadcountAI & Advanced Analytics
Use cases
Rhoda AuDirector of Neuropsychology, Framingham Heart Study
44
LEGEND
Cell Colour
Concentration of Role in the Industry
14,000
12,000
37,000
102,000
16,000
22,000
39,000
7,000
Global Headcount
Big Data / Hadoop Admin
Analyst -Data
Management
Data Warehouse Engineer
Analyst -Business
Intelligence
Data Scientist
Visualization Specialist
Data Architect
Analyst -Information Security
Applied Data
Scientist -Speech
Applied Data
Scientist -Vision
Data Steward
Automotive
Healthcare
BFSI
Enterprise Software
Semiconductor
Retail
Consumer Electronics
Industrial
<1% 1% to 10% 10% to 25% 25% to 40% >40%
Total: 250k
And we see a similar trend across industries (demand ~over 500K AI/Big Data Analytics Talent)
Note : DRAUP’s proprietary talent module was used to analyse technology talent across different Industries
55
Emerging US Tech Locations: DRAUP analysed university curriculums, migration patterns, online course consumptions and demand across industries to project talent hotbeds across the US
DRAUP’s AI/ML Talent projections for 2025 estimates emergence of 80 Hotspots, supply is expected to grow to be around 220K
Source: Zinnov Global Machine Learning talent forecasting modelerZinnov analysis of university programs, fresh ML graduates, digital initiatives of Government and Enterprises, StartupsGeneric Data Science Talent pool not considered as there is noise in the data
Pullman
Portland
Eugene Boise
San JoseOrange County
San DiegoLas Cruces
Boulder
Colorado Springs
Kansas City
Lawrence
Lincoln
Ames, Iowa
Iowa city
St. LouisRolla
Fayetteville
Mansfield
San Antonio
Houston
New Orleans
Atlanta Columbia
Clemson
Knoxville
CharlotteRaleigh Durham
NorfolkRichmond
FairfaxBaltimore Newark, Delaware
LowellHartford
NewarkWilliamsburg
Burlington
Cincinnati
Indianapolis
Tampa St. Petersburg
Santa clara
Hotbeds 2018 Hotbeds 2025
Greenville
Phoenix
Skilled Talent: AI/ML talent installed
across US is estimated to be around 220K, 60% of which is installed in top 8 major cities. The Demand for AI/ML talent will reach 2.1M by 2025
University Supply: DRAUP’s Talent
module analysed university curriculums introduced in AI/ML areas of over 2K large and small universities and Community colleges across the Tier1/2/3 cities and estimates the rise in supply for AI/ML talent across these 80 cities
Talent Migration Drivers: Higher real
estate cost in top east coast locations, Less regulation in the Southern states, Rewiring of the Automotive Industry are major reasons driving the movement of Talent across southern and western cities
San FranciscoDenver
Chicago
Washington DC
New York
Boston
Seattle
Dallas
66Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
Eastern European Hotspots: Prague, Krakow, Warsaw, Bucharest and Budapest are viable low cost options for Software Engineering
Poland: Highest presence of software and technology, mechanical engineering talent in the
region. Mix of companies from different verticals
Hotspots in analysed locations with engineering and technology talent
Romania: Hub for semiconductor and mechanical design/development talent. Significant
presence of Automotive OEMs and Tier 1 companies
Czech Republic: Talent is concentrated in Prague. Installed Analytics/BI/Bigdata talent is
higher than Poland and Romania
Hungary: Equal spread of mechanical and software/technology talent. Hungary has one of
the lowest installed talent in the Eastern European region
Warsaw
Brno
Krakow
Budapest
Prague
Timisoara
Bucharest
77
Targeting Smaller Universities and Community Colleges: Data Science Deep Dive: CMU, MIT and Stanford offer most advanced courses but smaller universities are catching up
Top AI/ Big Data Talent Universities
Beginner CoursesIntermediate
CoursesAdvanced
Courses
CARNEGIE MELLON
UNIVERSITY
Cognitive ScienceLogic ProgrammingMachine Learning
Computational Biology
Computer Vision
Neural networksAI &
Manufacturing
UNIVERSITY OF CALIFORNIA
BERKLEY
Decision TheoryProbabilistic-
Reasoning
Genetic AlgorithmRobotics
Problem Solving
Neural NetworksIntegrated AI-Architecture
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Cognitive ScienceDecision Theory
Computational-Biology
Philosophy of AI
Neural Networks
STANFORD UNIVERSITY
NLPMachine Learning
Cognitive ModellingRobotics
Distributed AI
Small Universities/Community Collages
Beginner Courses Intermediate CoursesAdvanced
Courses
THE UNIVERSITY OF TEXAS Speech and Machine LearningNLP
Automata TheoryCombinatorics and Artificial
Intelligence
SONOMA STATE UNIVERSITY Adversarial Game-Tree Search
Fuzzy LogicBioinformatics
Neural NetworksGenetic Algorithms
POMONA COLLEGEHuman Computer Interaction
Machine Learning
NLPRobotics
Computer Vision
Biological Problems through Computational Methods
AZUSA PACIFIC UNIVERSITYApplied Machine Learning
Big Data Analytics & Technologies
NLPResearch Psychology
Predicting Chronic Bronchitis Symptoms Using Machine
Learning
WORCESTER STATE UNIVERSITYDatabase Design and
ApplicationsData Mining
Big Data Analytics CapstoneArtificial Intelligence
Robotics
WICHITA STATE UNIVERSITYArtificial Intelligence
Robotics
YOUNGSTOWN STATE UNIVERSITYApplied Artificial IntelligenceData Warehousing and Data
Mining
Artificial Intelligence in Game Design
Artificial IntelligenceCloud Computing and Big Data
UNIVERSITY OF SOUTHERN MAINE Machine LearningArtificial Intelligence and Data
MiningAutonomous Robots
Courses offered by top universities Courses offered by niche universities and Community colleges
Course maturity Low Medium High
Note : DRAUP’s proprietary talent module was used to analyse millennial moments across various cities
88
Partnering directly with AI professors in smaller universities: AI Professor profiles at East Coast Small Universities/Community Colleges (1/2)
Professor University Research Focus Areas Citations Contact Affiliations
Patrick McDonaldProfessor of Mathematics
New College of Florida Probability and Stochastic Analysis; PDE; Optimization; Data Visualization; Artificial Intelligence 1622
Carnegie Learning; European Southern Observatory; Sloan Fellows
Ankur AgrawalAssociate Professor
Manhattan College Medical Informatics; Data Mining139
New Jersey Institute of Technology; Manhattan College; Stanford University; University of California
Amalia RusuAssociate Professor
Fairfield University Human Interactive Proofs; Document Image Analysis;Pattern Recognition; Image Processing; AI; HCI; Web Security
Sunil ShendeAssociate Professor
Rutgers University-Camden
Algorithmic Game Theory; NLP; Parallel and Distributed Computing; Data Compression; Mobile Computing; Data Compression and Encoding; Big Data
[email protected](856) 225-6122
Hewlett-Packard
Roy GeorgeAssociate Professor
Clark Atlanta University Data Mining; Knowledge Management; Information Assurance and Soft Computing; Artificial intelligence; Machine learning;
ASELSAN
Brian RussellAssistant Professor
Rutgers University-Camden
OS, Artificial Intelligence, Networking, Artificial Languages, Software Engineering, and Psychology of Software Development
[email protected](856) 225-6863
NA
Hsin-Chu Chen,Associate Professor
Clark Atlanta University High Performance/Applied Parallel and Scientific Computing; Computer Networking; Algorithm Analysis and Design
NA
Suneeta RamaswamiProfessor
Rutgers University-Camden
Computational Geometry and Applications; Mesh Generation; Computational Statistics; Algorithms; Mesh Generation; Robotics; Computer Graphics.
[email protected](856) 225-6439
AT&T Labs
Scott FreesProfessor
Ramapo College of New Jersey
Web Development; Human-computer interaction; Virtual reality; Software engineering; Database Systems; Computer Graphics
[email protected](201) 684-7726
Sarnoff Corporation
Sourav DuttaAssistant Professor
Ramapo College of New Jersey
Data Structures and Algorithms; Big Data; High-performance Computing; Hardware/software co-design; Machine Learning
[email protected](201) 684-7177
Southern Illinois University Carbondale
Amruth KumarProfessor
Ramapo College of New Jersey
Organization of Programming Languages; Artificial Intelligence; Computer Graphics; Intelligent Tutoring Systems
[email protected](201) 684-7712
NA
John Doucette,AssistantProfessor of CSc
New College of Florida Artificial Intelligence; Multiagent Systems; Machine Learning; Social Choice Theory
[email protected](941) 487-4515
University of Waterloo
David GillmanAssistant Professor
New College of Florida
Image Processing; Health Informatics; Data Science; Artificial Intelligence12
[email protected](941) 487-4118
VMware;Akamai Technologies
99
Partnering directly with AI professors in smaller universities: AI Professor profiles at East Coast Small Universities/Community Colleges (2/2)
Professor University Research Focus Areas Citations Contact Affiliations
Gary KalmanovichAssistant Professor
New College of Florida Algorithms; Optimization; Stochastic System; Time-Series Modeling; Quantitative Finance; Data Science; Artificial Intelligence
[email protected](941) 487-4171
Sheba Medical ; Medical Corps
Christine ReillyAssistant Professor
Skidmore College Data Mining; Artificial Intelligence; Distributed Data Storage Systems101
NA
Adrian Rusu-SprincenatuProfessor & Chair
Fairfield University Information Visualization; Data Analytics; Artificial Intelligence; Algorithms; Edutainment; Systems/Software Engineering; Computer Animation; NA
NA
Simon EllisAssistant Professor
Vassar College Artificially IntelligenceNA
NA
Tom EllmanAssociate Professor
Vassar College Artificial Intelligence; Machine Learning; Problem Reformulation; Computer-Aided Design; Automated Software Engineering
University of California, Irvine;Vassar College
Luke HunsbergerProfessor
Vassar College Artificial Intelligence793
[email protected](845) 437-5992
SRI International;Fondazione Bruno Kessler
John Rieffel,Associate Professor
Union College - New York Matlab, Robotics; Artificial Intelligence; Computer Organization; Parallel Computing 540
Tufts University; Cornell University; Brandeis University; Columbia University; Binghamton University
Kristina StriegnitzAssociate Professor
Union College - New York Data Structures; Artificial Intelligence; Web Programming; Game Development; NLP; Human-Computer Interaction; Theory of Computing
[email protected] 388 6554
Saarland University; Union College; Northwestern University; University of Edinburgh; Northeastern University
Nick WebbAssociate Professor
Union College - New York Natural Language Processing; Social Robotics; Computer Science Education; Big Data; Data Mining and Machine Learning; Robotics; Artificial Intelligence
[email protected](518) 388-6374
University at Albany, SUNY; University of Sheffield; Edinburgh Napier University; State University of New York System
Stuart HirshfieldProfessor of CSc
Hamilton College Artificial Intelligence; Computer Learning Technologies;Human-Computer Interfaces
Carnegie Mellon University; Tufts University; Syracuse University; Gettysburg College; Illinois State University
Richard WicentowskiProfessor
Swarthmore College Natural Language Processing; Computational Linguistics1188
Johns Hopkins University; Polytechnic University of Catalonia; University of the Basque Country; University of Delaware;
Sara MathiesonAssistant Professor
Swarthmore College Population Genetics; Machine Learning199
University of Pennsylvania; Swarthmore College; University of California, Berkeley; University of Warwick
Lisa MeedenProfessor
Swarthmore College Artificial Intelligence, Robotics; Cognitive Science1415
Bryn Mawr College; University of Massachusetts Lowell; Pomona College; Sarah Lawrence College;
1010
Sociology Researcher Data AnalystDecision Sciences
Researcher
Social ScientistQuantitative Social Science Researcher
Data and Research Analyst II
Behavioural Coach Research Assistant Applied Social Scientist
Operational Culture Social Scientist
Research Specialist Data Mining Analyst
Social & Behavioral Sciences Research Assistant
Graduate Teaching Assistant - Sociology
Graduate Teaching Associate -Social Science Statistics
Law and Human Rights Researcher
Social Researcher Senior Data Analyst
Data Scientist Job Progression Roadmap
Current RoleInitial Role
DataScientist
Past Role Previous Role
Enabling Different Disciplines: Diverse set of professionals have entered and exceled in the areas of AI/Data Science: Mapping Role Progression Possibilities is a key component of talent pipeline building
~2,000 Data Scientist profile analysed Hilary Dotson
DESIGNATION: Data Scientist at Center For Human Capital Innovation (CHCI)
Education: Ph.D. in SociologySpecialization: Medical Sociology, Racial Inequality
Research Areas: Machine learning, Statistical Modelling and Qualitative & Quantitative research.
Role Transition: Started as Research Assistant of Social and Behavioral Sciences at University of Central Florida Dotson then moved on to teach Sociology and also did courses in Exploratory Data Analysis, R-Programming and Data Science.
Thomas HilbigDESIGNATION: Data Science Researcher at Texifter LLC
Education: Ph.D. in Data Science & CriminologySpecialization: Machine Learning, Crime Statistics
Research Areas: Data Science, Machine Learning, Crime Statistics and Statistical Computing.
Role Transition: With Degrees in Criminology and Social Research Thomas explored Data Mining Techniques for Social Sciences and identified Real-Time reports using Machine Learning.
Sample Profiles
Note : DRAUP’s proprietary talent module was used to analyse job progressions across data science roles
1111
Adaptive Ecosystem Analysis: Rather than looking at immediate peers talent pipeline, HR leaders should look at the extended ecosystem - Design Engineer Hotspots across Industries
ATLANTA
CHICAGO
KANSAS CITY
CHARLOTTE
WASHINGTON D.C
Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
RALEIGH
ORLANDO
TAMPANEW ORLEANS
AUSTINDALLAS
550+ Talent
Top Employers
GREATER SEATTLE AREA
600+ Talent
Top Employers
SAN FRANCISCO BAY AREA
575+ Talent
Top Employers
GREATER LOS ANGELES AREA
250+ Talent
Top Employers
GREATER SAN DIEGO AREA
325+ Talent
Top Employers
PHOENIX, ARIZONA AREA
350+ Talent
Top Employers
GREATER DENVER AREA
1400+ Talent
Top Employers
HOUSTON, TEXAS AREA
350+ Talent
GREATER MINNEAPOLIS-ST.PAUL AREATop Employers
475+ Talent
Top Employers
GREATER BOSTON AREA
650+ Talent
Top Employers
GREATER NEW YORK CITY AREA
1212
Calibrating degree needs: DRAUP Open position analysis for Dallas shows, 27% of the Open positions in IT job roles do not require Bachelors/Masters degree
WHO IS REPLACING THEM?
Lambda School trains students in
technology skills and provides them job
guarantees, they recently raised $14M to
scale operations across USA
Khan Academy is a platform where
experts create content across various
technologies to students to learn and
develop expertise
Coursera is also a content based
platform which offers certification based
technology courses to students
Holberton school emphasises on project
based learning and helps students
improve their technical skills
Note : DRAUP’s proprietary talent module was used to analyse open positions data for Dallas
~27%
9K Jobs
analysed
No-degree
requirement
Android Developer
Applications Developer/EngineerCloud Architect
Cloud Engineer
Data Architect
Data Center Technician
Desktop Support
Frontend Engineer
Full Stack Engineer
iOS Developer
IT Consultant/Business
Consultant
Technical Support Engineer
Java Developer
Network Administrator
Performance Engineer
QA Test Automation Engineer
Salesforce Developer
Security EngineerSolutions Architect
UX Designer
0.20
0.22
0.24
0.26
0.28
0.30
0.32
0.34
0.36
0.38
0.40
0 50 100 150 200 250 300 350Open Positions
% J
ob
s w
ith
No
n-D
egre
e R
equ
ire
me
nt
Open Positions Analysis - DALLAS
