Analyttica TreasureHunt is a patent pending platform, which allows one to learn industry relevant business analytics through simulation and gamification
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Big data approaches to estimate the impact of EU fundingData4Impact
Big Data approaches to estimate the impact of EU funding on innovation development. Presentation in STI conference, 12th September 2018, Leiden by Dr Lukas Pukelis and Vilius Stanciauskas (PPMI).
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Big data approaches to estimate the impact of EU fundingData4Impact
Big Data approaches to estimate the impact of EU funding on innovation development. Presentation in STI conference, 12th September 2018, Leiden by Dr Lukas Pukelis and Vilius Stanciauskas (PPMI).
Big Data: Expectations, Obstacles, and The Road to Greater ValueSAP Technology
What can Big Data do for you? A recent report by The Economist Intelligence
Unit sponsored by SAP Services explores these issues and more. Learn more at www.sap.com/bigdata
Over the last 8 years we have invested in a lot into getting how we deal with data right. Doing so has not only helped get the business back on track, but helped evolve our business model, helped inform how we scale teams and ultimately sell a further 3 times - most recently in July as part of a £2.2 billion delisting. The changes we made show how not only is increasingly important capability in managing data is becoming but how important it is to get it right now.
Mark Sage (AREA): Status of the AR in Enterprise Ecosystem and What Can We Do...AugmentedWorldExpo
A talk from the Enterprise Track at AWE Europe 2017 - the largest conference for AR+VR in Munich, Germany October 19-20, 2017
Mark Sage (AREA): Status of the AR in Enterprise Ecosystem and What Can We Do To Improve It
Many analysts predict that the Enterprise sector will be the biggest growth area for Augmented Reality (AR), yet the ecosystem still finds itself in the trough of disillusionment according to Gartner’s hype cycle model. Find out what the AREA (Augmented Reality for Enterprise Alliance) is doing to grow and educate the ecosystem and what you can do to help!
How does audience building through emerging video channels compare to planning on traditional TV? We kick off this section of content on targeting and audience metrics with a primer.
PRESENTER
Josh Martin, EVP & Head of Mass Acquisition Media, Performics
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Sebastin Girard is the Vice President and Chief Workforce Officer for Parkland Health & Hospital System. Girard’s HR Tech Online North America presentation focused on tapping into industry data and labor market trends to anticipate new skills and prepare employees for the future. He also discussed some of the current technology available and what it means for employers looking to win the War on Talent.
Making Retail Paid Search Predictive: New ways Retailers like OTC are using ...Adlucent
The retail space is volatile. In an industry that relies on short conversion times, fluctuating budgets, variable average order values, seasonality, and competing promotions, implementing a predictive paid search program that anticipates market trends and provides consistent revenue growth is a formidable task.
Burtch Works’ Top Career Tips for Analytics, Data Science, & Marketing ResearchLinda Burtch
If you're working in analytics, data science, and marketing research, congrats! You've chosen one of the hottest career fields today. Want to know how to set yourself apart from the pack? Click through for Burtch Works' best career tips for quantitative professionals, gleaned from decades of experience recruiting in these dynamic fields.
Are You Using the Tools of the Future to Find the Skills of the Future?Catalant Technologies
Companies are increasingly faced with the challenge of finding and retaining the right knowledge talent to meet key business initiatives and project demands. Innovative companies are opting to venture outside of traditional staffing models to the on-demand economy, where experienced business experts are choosing to work independently.
Big Data: Expectations, Obstacles, and The Road to Greater ValueSAP Technology
What can Big Data do for you? A recent report by The Economist Intelligence
Unit sponsored by SAP Services explores these issues and more. Learn more at www.sap.com/bigdata
Over the last 8 years we have invested in a lot into getting how we deal with data right. Doing so has not only helped get the business back on track, but helped evolve our business model, helped inform how we scale teams and ultimately sell a further 3 times - most recently in July as part of a £2.2 billion delisting. The changes we made show how not only is increasingly important capability in managing data is becoming but how important it is to get it right now.
Mark Sage (AREA): Status of the AR in Enterprise Ecosystem and What Can We Do...AugmentedWorldExpo
A talk from the Enterprise Track at AWE Europe 2017 - the largest conference for AR+VR in Munich, Germany October 19-20, 2017
Mark Sage (AREA): Status of the AR in Enterprise Ecosystem and What Can We Do To Improve It
Many analysts predict that the Enterprise sector will be the biggest growth area for Augmented Reality (AR), yet the ecosystem still finds itself in the trough of disillusionment according to Gartner’s hype cycle model. Find out what the AREA (Augmented Reality for Enterprise Alliance) is doing to grow and educate the ecosystem and what you can do to help!
How does audience building through emerging video channels compare to planning on traditional TV? We kick off this section of content on targeting and audience metrics with a primer.
PRESENTER
Josh Martin, EVP & Head of Mass Acquisition Media, Performics
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Sebastin Girard is the Vice President and Chief Workforce Officer for Parkland Health & Hospital System. Girard’s HR Tech Online North America presentation focused on tapping into industry data and labor market trends to anticipate new skills and prepare employees for the future. He also discussed some of the current technology available and what it means for employers looking to win the War on Talent.
Making Retail Paid Search Predictive: New ways Retailers like OTC are using ...Adlucent
The retail space is volatile. In an industry that relies on short conversion times, fluctuating budgets, variable average order values, seasonality, and competing promotions, implementing a predictive paid search program that anticipates market trends and provides consistent revenue growth is a formidable task.
Burtch Works’ Top Career Tips for Analytics, Data Science, & Marketing ResearchLinda Burtch
If you're working in analytics, data science, and marketing research, congrats! You've chosen one of the hottest career fields today. Want to know how to set yourself apart from the pack? Click through for Burtch Works' best career tips for quantitative professionals, gleaned from decades of experience recruiting in these dynamic fields.
Are You Using the Tools of the Future to Find the Skills of the Future?Catalant Technologies
Companies are increasingly faced with the challenge of finding and retaining the right knowledge talent to meet key business initiatives and project demands. Innovative companies are opting to venture outside of traditional staffing models to the on-demand economy, where experienced business experts are choosing to work independently.
Guide to Data Analytics: The Trend That's Reshaping the Insurance IndustryApplied Systems
Information you need is in your management system –- you just have to understand how to use it. Read this guide to learn what data analytics is, how it's impacting the insurance industry, why it's important for independent agencies and brokerages, and how to create your own data analytics strategy.
Data science skills are necessary for entrepreneurs today, irrespective of their job title. Know why data science skills are important for entrepreneurs.
The majority of organizations (54%) use people analytics to improve HR effectiveness today. Organizations more frequently rely on people analytics to improve business outcomes, organizational performance and achieve labor cost savings.
People Analytics allows HR to gain a more strategic role in the organization and clearly show its impact.
Advanced organizations use data to analyze the workforce proactively, make predictions, and create and monitor comprehensive workforce plans to achieve financial success.
HR data has become an strategic priority, but it takes efforts in order to enable the usage of it.
Webinar - Expert Tips for Crafting Your Best Compensation Data StrategyPayScale, Inc.
Join Payscale’s Chief Product Evangelist, Ruth Thomas; Director of Product Management - Data Products, Vicky Peakman; and Director of Data Science, Sara Hillenmeyer as they share expert tips for crafting your best compensation data strategy.
People & Technology: Vision for Life Sciences 2016accenture
Industry leaders are rethinking the critical role of people when harnessing advances in digital technologies. We have identified four themes that will have a significant impact in the life sciences industry over the next 12 months.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
1. companies cannot deliver the right information at right time.
– Mckinsey, 2011
86%
shortfall in
applied analytics
talent across the
globe by 2018.
– Gartner, 2013
Will it pass you by?
4.4 million+
gap between
the supply & demand
of people with deep
analytical talent.
-Mckinsey, 2011
50-60%
The
Analytics
Great
Opportunity
Services enabled by
personal location data
can allow customers to
capture
in economic
surplus in USA alone.
– Mckinsey, 2011
$600 bn
Retailers using
Big Data can
increase operation
margins by more than
- Gartner, 2013
60%
LARGE
POTENTIAL
CAPABILITY
GAP
Get yourTalent
Right!Strategy,
CURRENT
SCENARIOS
Theory
over
Practice
Slowest
learner
decides
pace
No
industry
exposure
Experts
are too
busy
to train
Cost, Quality & Time Overrun
2. Be Industry
ready in
2 months.
Get connected
to industry.
Understand
how industry
works.
Through
LEARN BY DOING REAL LIFE ANALYTICS
SIMULATIONS
BENCHMARK WITH
EXPERTS & PEERS PERSONALISED
LEARNING
LEARN FROM
INDUSTRY EXPERTS
- A one stop solution
Experts [Create]
Builds relevant learning modules
Talent [Learns]
Gains relevance through practice
Vibrant Ecosystem for Analytics
What is in it for you?
For Talent
“New opportunity needs innovative thinking.”
Reach out to us for a demo:
Data Science in Motion
Industry [Employs]
Employs relevant and quality talent
cogito@analyttica.com
Muralee: +91-9880185184
Anoop: +91-8105462101
http://learn.analyttica.com/
Be ready for relevant roles faster
LEARN ANYWHERE
AND ON THE MOVE Supported on our
patent pending analytics
simulation platform
NO CODING REQUIRED