Data Science Development with Impact

•

0 likes•382 views

Organizations across the globe ramp up Data Science teams and invest tremendous amounts in ambitious development initiatives. Hardly any CEO left who is not into developing a data driven organization or – even better – activating AI to become a true disruptor. Despite the highly motivated key stakeholders and rapidly growing data assets, many Data Science projects ultimately go wrong. Some of them produce impressive prototypes or MVPs and yet, fail to generate real impact. Data Science development with impact and at scale needs to address the differences between pure software development and development with analytical focus and high invention risk.

Data & Analytics

Data Science
Development
with Impact
PAW Berlin 2018
Norbert Wirth
@Bert_feed

PwC 2
Cost-
focused
Intuitive
business
insights
Siloed
decision
making
Pre
Value-
focused
Data and
analytics driven
business
insights +
intuition
Collaborative
decision-
making
Post
Businesses want…

PwC 3
Welcome to the data
driven organization

PwC 4
Welcome to the analytics
driven organization

Building analytics capabilities requires overcoming barriers that are
common across industries
PwC 5
Which of these barriers sound familiar to you?
BehavioralOrganizationalStructural
Fragmented Analytics teams
Limited focus on incubating future vision
Insufficient funding
Unclear governance structure
Lack of cross-functional problem-solving
Collaboration impeded by competition
Intuitive vs data-driven decision-making
Company culture
Lack of information sharing
Spotlight on near-term solution
Legacy infrastructure
Multiple platforms and tools
Complex data environment
Poor data quality
Lack of trained staff
Lack scalability

PwC 8
Describe, summarize
and analyze historical
data
Recommend ‘right’ or
optimal actions or
decisions
Monitor, decide, and
act autonomously or
semi-autonomously
Predict future outcomes
based on facts from the
past and simulations
Descriptive
Predictive
Prescriptive
AI/Cognitive
IncreasingBusinessValue
Identify causes of
trends and outcomes
Diagnostic
Increasing Sophistication of Data & Analytics
(What
happened?)
(Why it
happened?)
(What could
happen?)
(What should be
done?)
(How do we adapt to
change?)
Continuum of analytics capabilities

PwC 9
Descriptive
Predictive
Prescriptive
AI/Cognitive
IncreasingBusinessValue
Diagnostic
Increasing Sophistication of Data & Analytics
Where’s the money?

PwC 10
Descriptive
Predictive
Prescriptive
AI/Cognitive
IncreasingBusinessValue
Diagnostic
Increasing Sophistication of Data & Analytics
How big is the risk?

PwC 13
…, of course your
algorithm might simply
not be working
> fatal error | fatal error |
fatal error | fatal error | fatal
error | fatal error | fatal error
| fatal error | fatal error |
fatal error | fatal error | fatal
error | fatal error | fatal error
| fatal error | fatal error |
fatal error

PwC 15
We don’t want to
end up delivering no
impact

PwC 18
Being a smart genius
won’t do the trick. Quite
the opposite!

PwC 26
No throwing over the
fence (♥ dev ops)

PwC 29
Dream team
Backend
developer
Frontend
developer
UCD/UX/UI
QA
Architect
Product
owner
Technical
P.owner
Data
Scientist
B. Data
engineer
Scrum
master
ML
engineer

PwC 30
 Define impact
 Implementation scenario
 Risks, structure, org. &
behaviour
 Work really agile
 Find your flexible
dimension
 Microservices
 Automate
 Team play w. clear roles
 Just see $$
 Run into the POC trap
 Think data=solution
 Think you can fix
everything
 Don’t plan
 Waterfall
 Monolithic systems
 Ops will run the stuff
Key takeaways

PwC 31
norbert.wirth@pwc.com
@Bert_feed
https://www.linkedin.com/in/norbertwirth/

On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context. They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.

The pivotal power of data science - Influencing the business model of a media...

Python Predictions

Slides of our presentation at Digital First, October 18, 2018, Brussels https://www.digitalfirst.be/day2-2#dayres When a startup turned to Python Predictions for their data science help, no one expected the outcome to be so impactful. The data the startups' MVP produced was the basis for an exploratory data science exercise which led to a pivotal moment of the startup early on in their business model definition. Accurat today is the result of a drastical change in approach of both the business segment and the value proposition, fed by the insights that data science revealed. In this session Bart Muskala, Accurat's founder and Geert Verstraeten, managing partner at Python Predictions outline the briefing, the approach, the insights and the impact data science had.

Predicting employee burnout

Python Predictions

Today, an estimated 8.5% of the Belgian employees are at risk of burnout. This represents a huge potential cost to organizations and a huge personal risk for employees. Together with SD Worx, a large Belgian HR service provider, we succeeded in predicting expected future absenteeism, by combining historical absenteeism with softer measures like evaluations and surveys. At DISummit 2017, we shared the main conclusions of this exciting project, and we offer our view on why we succeeded in this challenge.

AI inspiration session in HR

Python Predictions

Slides of a very short inspiration session of the use of AI in an HR context for Agoria, Feb 12 2021. In this session, we described our collaboration with SD Worx on using algorithms to reduce absenteeism. We explained how some of the most powerful AI applications have clear value in an HR context. We showed the highlights of our success cases with SD Worx, where we used Predictive Analytics and Segmentation techniques to predict, understand and reduce future employee absenteeism.

Stop searching for that elusive data scientist

Parul Verma

The inside scoop on industry analysts and how to work with them

Scott Liewehr

BA and Beyond 20 - Antonio Gonzalez Sanchis - Add some RICE to your organisation

BA and Beyond

Is your company always focused on one-time opportunities? Are you always unclear on what requirements to clarify next? Projects changing all the time? I've been there. In April 2019 I joined an Artificial Intelligence company which was mainly driven by sales opportunities with no focus on long-term goals. You can imagine how difficult it was for me to define product requirements that made sense in the long-run and to write user stories that met teams' "definition of ready". In this talk I want to share one technique that helped me aligning stakeholders towards priorities and being clear of what was coming next: RICE prioritization. I will share my struggles and successes on getting there.

SDD2017 - 03 Abed Ajraou - putting data science in your business a first uti...

Dario Mangano

Technology can make our work easier and more efficient. However, picking the right tool for the purpose at hand can be a challenge. This workshop will present an in-depth look at selected technology tools that can assist organizations to work together, and that can be helpful in facilitating shared activities. The workshop will include strategies for assessing and tracking the effectiveness of such tools.

Intentional Innovation Brochure-2015Patrick Shore

Finalchishow pres 10-29-14

ProModel Corporation

Marigo Serious Games Preso for Gcap

Dr. Marigo Raftopoulos

Construction Project Management Help | CONSYSA

Accutech Services LLC

CONSYSA Construction Systems of America has a very simple to use, yet very robust tool to help you manage your construction projects. Get Free For Life project management subscription of CONSYSA : https://www.consysa.com/ Construction Project Management help to guide the project in the right direction from one point to another so that the project can progress in the manner it is planned to be. It is not only the commercial enterprise that will gain, but also the clients and the workforce who are benefited by using the regular and planned pace of the tasks. There is regular feedback, which permits the workers as well as clients to take part in the on-goings of the project. Also Visit- https://www.consysa.com/forum/pages/construction-project-management-help https://youtu.be/9awtjwSfY4U

05.02.2018

TanishqArora4

Dogma slides

D Dougherty

THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...

Ken O'Connor

THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...

DAMA Ireland

What's hot

How to select a wcms and the team to make it sing jboye13Scott Liewehr

Austhink Making Complex Reasoning Appear Simpler

Katherine Brandenberger

Analytics from collaboration to cognitive data platforms

Matt Gardner

Diatom Enterprises Experts in Custom Software development

Evgueny Lemasov

You've got the tools but do you have the team

Scott Liewehr

"Making Advanced Analytics Work for You" by Dominic Barton and David Court

Sai Sandeep MN

Putting data science in your business a first utility feedback

Peculium Crypto

Using Robotic Process Automation to streamline enterprise business processes

Steven Gruyters

We’re looking for a Chief Technology Officer (CTO)

Authoritas

How Financial Services & Insurance Companies Thrive with Agile Research

Audrey Perelshtein

Re-positioning IT in Digital Era

Pradeep Chankarachan

Managing Business Intelligence Projects

Richard Magu

Big Data Analytics: How to Get Started? | OPTIMUS 2015 Atlanta

ORTEC US

Using technology-to-facilitate-partnerships-and-collaboration-marco-campana-f...

Marco Campana

Intentional Innovation Brochure-2015Patrick Shore

Finalchishow pres 10-29-14

ProModel Corporation

Marigo Serious Games Preso for Gcap

Dr. Marigo Raftopoulos

Construction Project Management Help | CONSYSA

Accutech Services LLC

05.02.2018

TanishqArora4

Dogma slides

D Dougherty

What's hot (20)

How to select a wcms and the team to make it sing jboye13

Austhink Making Complex Reasoning Appear Simpler

Analytics from collaboration to cognitive data platforms

Diatom Enterprises Experts in Custom Software development

You've got the tools but do you have the team

"Making Advanced Analytics Work for You" by Dominic Barton and David Court

Putting data science in your business a first utility feedback

Using Robotic Process Automation to streamline enterprise business processes

We’re looking for a Chief Technology Officer (CTO)

How Financial Services & Insurance Companies Thrive with Agile Research

Re-positioning IT in Digital Era

Managing Business Intelligence Projects

Big Data Analytics: How to Get Started? | OPTIMUS 2015 Atlanta

Using technology-to-facilitate-partnerships-and-collaboration-marco-campana-f...

Intentional Innovation Brochure-2015

Finalchishow pres 10-29-14

Marigo Serious Games Preso for Gcap

Construction Project Management Help | CONSYSA

05.02.2018

Dogma slides

Similar to Data Science Development with Impact

THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...

Ken O'Connor

THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...

DAMA Ireland

Challenges of Executing AI

Dr. Umesh Rao.Hodeghatta

According to recent research report by Wall Street Journal, AI project failure rates near 50%, more than 53% terminates at proof of concept level and does not make it to production. Gartner report says that nearly 80% of the analytics projects are not delivering any business value. That means for every 10 projects, only 2 projects are useful to the organization. Let us pause here a moment, rather than looking at what makes AI projects to fail, let’s look at the challenges involved in AI projects and find a solution to overcome these challenges. AI projects are different from traditional software projects. Typical software projects, as shown in Figure 1, consist of well-defined software requirements, high level design, coding, unit testing, system testing, and deployment along with beta testing or field testing. Now, organizations are adopting Agile process instead of traditional V or waterfall model, but still steps mentioned are valid. However, AI and Machine Learning projects’ methodology is different from the above. Our experience working on many AI/ML projects has given us insights on some of the challenges of executing AI projects. Also, we are in regular touch with senior executives and thought leaders from different industries who understand the success formula. The following discussion is based on our practical experience and knowledge gained in the field. Successful execution of AI projects depends on the following factors: 1. Clearly aligned Business Expectations 2. Clarity on Terminologies 3. Meeting Data Requirements 4. Tools and Technology 5. Right Resources 6. Understanding Output Results 7. Project Planning and the Process

Cornelius Fichtner - PMI-HU - Keynote - AI and PM 2023.11.02.pptx

KaragitsKira

18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service

Athens Big Data

Deep learning fast and slow, a responsible and explainable AI framework - Ahm...

Institute of Contemporary Sciences

PwC's recently released Responsible AI Diagnostic surveyed around 250 senior business executives from May to June 2019. The survey says that 84% of CEOs agree that AI-based decisions need to be explainable in order to be trusted. In the past few years, Deep learning has shown remarkable results in various applications, which makes it one of the first choices for many AI use cases. However, deep learning models are hard to explain, and since the majority of CEOs expect AI solutions to be explainable, deep learning has a serious challenge. Daniel Kahneman, in his book thinking fast and slow, presented two different systems the human brain uses to form thoughts and decisions: System 1: fast, intuitive and hard to explain System 2: slow, conscious and easy to explain In this talk I will present: A) PwC Responsible AI Survey B) A proposed deep learning framework that mimics the two systems of thinking C) The recent advances in the neural symbolic learning field.

Innovation Storytelling: Nurturing the "Seeds" of Innovation

PARC, a Xerox company

There are many models for engaging in corporate venturing and innovation. But how can we expand the models we think of when we think of "strategic partnerships"? And what practices can we engage in so these initiatives aren't conducted as isolated engagements but as ones that can centrally influence the business? Drawing on lessons learned and experiences from PARC today, CEO Steve Hoover will share cases and specific innovation practices we can engage in, particularly for moving ideation to impact, optimizing for timing especially under uncertainty, and for influencing the entire organization. PARC presented this talk during the "Innovation Storytelling: Nurturing The Seeds of Innovation, Case Study Illustrations" segment at the IBF Corporate Venturing and Innovation Partnering conference on February 7, 2012. Attended by corporate investors, new business development executives, venture capitalists, private equity investors, mergers & acquisition executives, institutional investors, technology transfer experts, licensing executives, investment bankers, corporate counsel, as well as CTOs, CIOs, CEOs and CFOs of emerging growth companies, this annual International Business Forum event shares strategies to gain a competitive advantage through corporate venturing and innovation initiatives. Over two days, attendees will have an opportunity to share B2B alliance models, investment approaches, strategies to capture technology innovation from external sources, and insights on ways to enhance their corporate venturing initiatives.

PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)

Chief Analytics Officer Forum

Robert Brooks, PwC

CSSaunders

Advanced Project Data Analytics for Improved Project Delivery

Mark Constable

Data Analytics is already beginning to impact how projects are delivered. We can now automate minute taking and capturing actions, we can use Flow to progress chase, Power BI reduces the burden of reporting. But we are just scratching the surface. It won’t be long before we can leverage the rich dataset of experience to predict what risks are likely to occur, understand which WBS elements will be susceptible to variance, deduce what the optimum resource profile looks like, define a schedule by leveraging data from those projects that have gone before. The role of a project professional is about to change dramatically. In this webinar we will explore the challenges and opportunities, and how we should respond. It’s a call-to-action for the community to mobilise, help to reshape project delivery and understand the implications for you and your organisation. Presenter Martin Paver is a Chartered Project Professional, APM Fellow and Chartered Engineer. In December 2017 he established the London Project Data Analytics meetup which has quickly spread across the UK and expanded to 3000+ members. Martin has major project experience including leading a $billion projects with a team of 220 and a multi-billion PMO with a team of 50. He has a detailed grasp of project management and combines this with a broad understanding of recent developments in the field of data science. He is on a mission to ensure that the project management profession readies itself for a transformed future. Learning outcomes: - Understand the implications of advanced data analytics on project delivery - Understand the scope of which functions it is likely to impact - Help you to develop a strategy for how you engage with it - Understand how to leverage the benefits and opportunities that will emerge from it Presenter: Martin Paver, CEO & Founder, Projecting Success Ltd

Cutting through the hype - how to use advanced analytics to do practical thin...

Association for Project Management

Disrupting Risk Management through Emerging Technologies

Databricks

Achieving Holistic Supply Chain Visibility

SCL HUB Conference

Giving Organisations new Capabilities to ask the Right Business Questions

OReillyStrata

Giving Organisations new capabilities to ask the right business questions 1.7

OReillyStrata

Gramener Insight as Stories

Gramener

Achieving Automation through Cognitive Technologies - Deloitte

Institute of Singapore Chartered Accountants

Six Practical, Tactical Tips for the Enterprise Architect

ubmedia

Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...

Molly Alexander

Talent Pool Landscape Analysis - Data Scientist 2018

Recruise India Consulting Pvt. Ltd.

Similar to Data Science Development with Impact (20)

THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...

Challenges of Executing AI

Cornelius Fichtner - PMI-HU - Keynote - AI and PM 2023.11.02.pptx

18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service

Deep learning fast and slow, a responsible and explainable AI framework - Ahm...

Innovation Storytelling: Nurturing the "Seeds" of Innovation

PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)

Robert Brooks, PwC

Advanced Project Data Analytics for Improved Project Delivery

Cutting through the hype - how to use advanced analytics to do practical thin...

Disrupting Risk Management through Emerging Technologies

Achieving Holistic Supply Chain Visibility

Giving Organisations new Capabilities to ask the Right Business Questions

Giving Organisations new capabilities to ask the right business questions 1.7

Gramener Insight as Stories

Achieving Automation through Cognitive Technologies - Deloitte

Six Practical, Tactical Tips for the Enterprise Architect

Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...

Talent Pool Landscape Analysis - Data Scientist 2018

More from Rising Media Ltd.

Data Science at Roche: From Exploration to Productionization - Frank Block

Rising Media Ltd.

The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.

Cost-Effective Personalisation Platform for 30M Users of Ringier Axel Springe...

Rising Media Ltd.

Profit margins in the digital publishing business leave no place for flirting with expensive experiments. How to choose an appropriate approach to personalization that works well not only in theory but in the real world? How to ensure cost-efficiency & future-proofness not covered by academic research? How to respond to changing business requirements in no time? Draw from the experience of building a pragmatic, real-world personalization platform for 30M users of Ringier Axel Springer.

Uplift Modelling as a Tool for Making Causal Inferences at Shopify - Mojan Hamed

Rising Media Ltd.

For many businesses, it is not enough to model the probability of an outcome but rather, “given a predictive model, what can we do to change the probability of this outcome?” The goal of this talk is to present how uplift modelling is used to make causal inferences that guide acquisition strategy at Shopify. Mojan will walk through a case study focused on the statistics and experimental design behind uplift modelling, in addition to the learnings gained from bringing this model to production. The python implementation of this presentation will be made available to attendees.

Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...

Rising Media Ltd.

Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.

Data Science Development Lifecycle - Everyone Talks About it, Nobody Really K...

Rising Media Ltd.

Data science is rapidly becoming the primary catalyst for product innovation. However, most of the projects are stuck in the Proof-of-Concept (POC) phase. Christian and René had the chance to be part of GfK’s journey from a traditional market research company to a prescriptive data analytics provider. In order to build end-to-end data-driven products successfully, it is necessary to blend what existing frameworks like SCRUM and CRISP provide with the best practices from software engineering. You will learn about how they gradually established a data science development lifecycle that overcomes the POC-trap by considering production realities from day 1. Leveraging core concepts like KPI-driven development and micro-services they are able to successfully develop, deploy, scale and maintain data science models in production.

Creating Community at WeWork through Graph Embeddings with node2vec - Karry Lu

Rising Media Ltd.

Embeddings have become a powerful tool for representing discrete entities as continuous vectors. Recent advances have extended the original text embedding framework to accommodate new types of data. Of particular interest is a novel algorithm called “node2vec” that learns embeddings for nodes in a network. This is an especially pertinent use case for our team, since WeWork’s member community can conveniently be expressed in graphical form. In this talk, we’ll discuss how we use “node2vec” to create rich feature representations of WeWork communities, and then build recommendation services that are powered by these trained models.

More than 10 Blue Links: Advanced-Level SERP Optimisation

Rising Media Ltd.

In his talk at SMX Munich 2019, Dan Petrovic highlighted one emerging aspect of Google search - no search at all! We're talking about Google Discover, a machine learning content delivery platform that provides, "queryless" results served to users based on their interests, location and user behaviour. Discover already brings enormous traffic to those who show up on the feed, but remarkably remains largely under the radar by majority of the marketing community. Only days after Dan's presentation, Google started rolling out Discover performance report in Search Console. Find out more: https://dejanseo.com.au/discover/

How to Get Great Results Across Every Marketing Channel

Rising Media Ltd.

By now, most companies are doing Google & Facebook marketing (both paid and organic)-yet 99% of these marketing efforts end up going nowhere. This session will explore data that explains why the vast majority of internet marketing efforts fail. And now? Larry will provide an unusual, repeatable workflow on how to beat the Facebook & Google algorithms in 2018 and beyond. ● 99% of marketing efforts end up going nowhere ● Beat the Facebook & Google algorithms in 2018 and beyond ● Unusual, repeatable workflow

Don’t Freak Out! Tips for Mobile and Voice Search

Rising Media Ltd.

Mobile search overtook desktop search in less than five years... Mobile searches are inherently local, yet most digital marketers don't use Local SEO tactics. In this epic keynote session, Greg will cover the rise of mobile searches and how the landscape has changed for both organic and paid search. He'll share specific tactics to help you succeed in mobile searches in 2018. Even more shocking than the fast rise of mobile search, voice search went from zero to 10% in less than one year. Google recently announced that 20% of all mobile searches are voice based. Greg will share specific examples and tactics for voice search to help you prepare for the massive shift in search behavior that's already started. Are you ready for a Star Trek world where users simply talk to their mobile computers? We're living in that world already, and this session will make sure you're able to compete in 2018 and beyond. ● We are already living in a Star Trek world ● The rise of mobile searches and voice search causes massive changes ● Implications for organic and paid search, and how to compete in the future

The Scout24 Data Landscape Manifesto: Building an Opinionated Data Platform

Rising Media Ltd.

The Scout24 Data Landscape Manifesto is the formalization of our opinions on how a successful data-driven company should approach data. In a truly data-driven company, no manager, no salesperson, no engineer and no data scientist can do their job properly without easy access to large amounts of high-quality data. It is Sean's mandate to create a platform that encourages the production of high-quality data and enables engagement with data by all employees. He and his team are opinionated about how all producers and consumers of data need to be active participants in the data platform, to make data-driven decisions and to be responsible for the data they produce. And he built the data platform with 'nudges' that reward data usage that matches his vision for a data-driven company. In this talk, Sean will present the Scout24 Data Landscape Manifesto and will show how the strong opinions it contains enabled him to successfully migrate from a classic centralized data warehouse to a decentralized, scalable, cloud-based data platform at AutoScout24 and ImmobilienScout24 that is core to their analytics and machine learning activities.

Prescriptive ohne Predictive: Regression ist noch nicht tot! ROMI bei Unitymedia

Rising Media Ltd.

Wo investieren wir die nächsten 100.000 €? Wenn wir das Marketingbudget in diesem Monat kürzen, was werden die Auswirkungen auf unsere Sales-Aktivitäten sein und für wie lange? Welche Botschaften sollen wir in unseren TV-Spots platzieren, welche im Bereich Out-of-Home? Wie wirkt sich das Fernsehen auf unseren Kanal-Mix aus und wann und wo lohnt sich die Investition am meisten? Das sind die Fragen, die sich Unitymedia gestellt hat. Das Advanced Analytics-Team hat einen Baukasten aus fortgeschrittenen Regressionsmodellen entwickelt, um solche Fragen beantworten zu können, eine Diskussionsgrundlage zu bieten wie Marketing-Mittel optimal zu reallokieren sind und damit langfristig die Marktbearbeitung zu optimieren. Die Case Study des Projekts erklärt die Modellierung und den Projektansatz, warum Predictive Analytics hier nicht funktionieren würde und wie wir uns darauf konzentriert haben präskriptiv zu handeln (und das nicht nur im Hinblick auf die Modellierung).

Reinforcement Learning - Learning from Experience like a Human

Rising Media Ltd.

Reinforcement learning is in addition to (un)-supervised learning a major machine learning technology, which has a huge potential in a broad field of applications like robotics, autonomous driving, gaming and general control. This talk describes the major concepts, algorithms and software environments of it and gives a detailed overview of its capabilities. It addresses people with a reasonable background of other AI/ML technologies and therefore requires a good technical background.

Mindful Analytics - Wie Achtsamkeit uns noch besser macht

Rising Media Ltd.

Digitalisierung und Achtsamkeit sind zwei Trends, die unsere Gesellschaft und unsere Unternehmen beeinflussen. Im Rahmen der Digitalisierung und insbesondere mit der zunehmenden Nutzung von Daten, erzielen wir seit vielen Jahren große Fortschritte. Der Achtsamkeitstrend hingegen ist in den Unternehmen heute noch kaum spürbar. Dabei gibt es mittlerweile zahlreiche empirische Belege für die positiven Effekte eines achtsamen Arbeitsalltags und es wird Zeit, auch diesen Hebel zur Optimierung unseres digitalisierten Geschäfts zu nutzen. In dem Vortrag werden grundlegende Konzepte der Achtsamkeit und Möglichkeiten zu deren Integration in den Arbeitsalltag gezeigt. Im Detail wird das Achtsamkeitsprinzip des „Nicht Bewertens“ mit Blick auf „Predictive Analytics“ analysiert. Außerdem werden die positiven Wirkungen der Achtsamkeit auf unsere täglichen und ganz praktischen Probleme der zunehmend datengetriebene Unternehmenskultur aufgezeigt.

Predictive Analytics World for Business Deutschland 2018

Rising Media Ltd.

Die Predictive Analytics World for Business ist die führende anbieter-unabhängige Fachkonferenz für anwendungsorientierte Predictive Analytics. Anwender, Entscheider und Experten von Predictive Analytics treffen sich am 13 bis 14. November in Berlin, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren, sich untereinander fachlich und persönlich auszutauschen und sich von den Erfolgen inspirieren zu lassen.

Predictive Analytics World for Business Germany 2018

Rising Media Ltd.

The Centrality of a Detailed Understanding of your Audience

Rising Media Ltd.

Der steinige Weg zum automatisierten Data Science Produkt – Empfehlungen und ...

Rising Media Ltd.

„Irgendwie müsste es doch möglich sein, unsere Marketing-Entscheidungen automatisiert und datengestützt zu optimieren. Bauchgefühl ist ja gut, aber auf Dauer? Wir haben da doch diesen Riesenberg an Daten. Nein, eigentlich sind es ganz viele Berge. Und eine Idee habe ich auch – lass uns unsere Preissetzung optimieren! Oder doch die Vertriebstätigkeiten?“ In unserer Deep-Dive Session zeigen wir im Detail, wie wir von einem unklaren „Ideenwust“ und einem bestenfalls rudimentären Verständnis von Datenerfordernissen und –realitäten schrittweise zu einer komplett datengetriebenen Software zur Optimierung von Marketing-Aktivitäten kommen. Interaktive Elemente machen den kompletten Prozess erlebbar – von der Priorisierung der Use Cases über die Erstellung erster Design Scribbles in Design Studio Workshops bis hin zur agilen Entwicklung der webbasierten Softwarelösung. Ein besonderes Augenmerk wird dabei auf der Herausforderung liegen, komplexe Data Science Modelle im agilen Setup – welches auf stetige Software-Inkremente abzielt – zu entwickeln. Konkrete Praxisbeispiele ziehen wir aus unseren noch laufenden Entwicklungen von Data Science Webapplikationen zur Retail Store Optimierung, Promotion-Optimierung und zur Produkt-Launch-Optimierung.

Data Alchemy

Rising Media Ltd.

The “Big Data” and “Data Science” rhetoric of recent years seems to focus mostly on collecting, storing and analysing existing data. Data which many seem to think they have “too much of” already. However, the greatest discoveries in both science and business rarely come from analysing things that are already there. True innovation starts with asking Big Questions. Only then does it become apparent which data is needed to find the answers we seek. In this session, we relive the true story of an epic voyage in search of data. A quest for knowledge that will take us around the globe and into the solar system. Along the way, we attempt to transmute lead into gold, use machine learning to optimise email marketing campaigns, experiment with sauerkraut, investigate a novel “Data Scientific” method for sentiment analysis, and discover a new continent. This ancient adventure brings new perspectives on the Big Data and Data Science challenges we face today. Come and see how learning from the past can help you solve the problems of the future.

SpiegelMining – Data Science auf Spiegel Online

Rising Media Ltd.

Seit Mitte 2014 hat David fast 100.000 Artikel von Spiegel Online systematisch gespeichert. Zum einen gelingt dadurch Reverse Engineering von Spiegel Online: Der Datensatz wird auseinander genommen und Spiegel Online aus vielen völlig neuen Blickwinkeln betrachtet. Das Ganze wird bunt, unterhaltsam und anschaulich, so dass sowohl Techies als auch Nicht-Techies profitieren. Warum sind manche Artikel lang, manche kurz? Kann man Artikeln ansehen, ob die Redakteure wirklich dahinter stehen oder nicht? Welche Redakteure sind enger miteinander verbandelt als andere? Welche Inhalte hält der Spiegel selbst für politisch inkorrekt? Zum anderen gibt David zum Konferenzabschluss einen Überblick darüber, was Data Science für ihn bedeutet und über die gesellschaftlichen Implikationen, die sich aus dem Hype ergeben - zum Nachdenken und meditieren. Nicht nur die Vorgehensweise, sondern auch die Möglichkeiten und gesellschaftlichen Gefahren der Datensammelwut und Auswerterei werden betrachtet und das anhand bunter Grafiken anstatt von Formeln.

Predictive Analytics World for Industry 4.0 Munich

Rising Media Ltd.

More from Rising Media Ltd. (20)

Data Science at Roche: From Exploration to Productionization - Frank Block

Cost-Effective Personalisation Platform for 30M Users of Ringier Axel Springe...

Uplift Modelling as a Tool for Making Causal Inferences at Shopify - Mojan Hamed

Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...

Data Science Development Lifecycle - Everyone Talks About it, Nobody Really K...

Creating Community at WeWork through Graph Embeddings with node2vec - Karry Lu

More than 10 Blue Links: Advanced-Level SERP Optimisation

How to Get Great Results Across Every Marketing Channel

Don’t Freak Out! Tips for Mobile and Voice Search

The Scout24 Data Landscape Manifesto: Building an Opinionated Data Platform

Prescriptive ohne Predictive: Regression ist noch nicht tot! ROMI bei Unitymedia

Reinforcement Learning - Learning from Experience like a Human

Mindful Analytics - Wie Achtsamkeit uns noch besser macht

Predictive Analytics World for Business Deutschland 2018

Predictive Analytics World for Business Germany 2018

The Centrality of a Detailed Understanding of your Audience

Der steinige Weg zum automatisierten Data Science Produkt – Empfehlungen und ...

Data Alchemy

SpiegelMining – Data Science auf Spiegel Online

Predictive Analytics World for Industry 4.0 Munich

Recently uploaded

一比一原版(CU毕业证)卡尔顿大学毕业证成绩单

yhkoc

CU毕业证【微信95270640】（卡尔顿大学毕业证成绩单本科学历）Q微信95270640(补办CU学位文凭证书)卡尔顿大学留信网学历认证怎么办理卡尔顿大学毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假卡尔顿大学假文凭学位证书制作CU本科毕业证书硕士学位证书精仿卡尔顿大学学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】 1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640 2、面对父母的压力，希望尽快拿到卡尔顿大学卡尔顿大学毕业证文凭证书； 3、不清楚流程以及材料该如何准备卡尔顿大学卡尔顿大学毕业证文凭证书； 4、回国时间很长，忘记办理； 5、回国马上就要找工作，办给用人单位看； 6、企事业单位必须要求办理的；面向美国乔治城大学毕业留学生提供以下服务: 【★卡尔顿大学卡尔顿大学毕业证文凭证书毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】【★真实使馆认证（留学人员回国证明），使馆存档可通过大使馆查询确认】【★真实教育部认证，教育部存档，教育部留服网站可查】【★真实留信认证，留信网入库存档，可查卡尔顿大学卡尔顿大学毕业证文凭证书】我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。专业服务，请勿犹豫联系我如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我你赢我赢，共创双赢你做代理，可以帮助卡尔顿大学同学朋友你做代理，可以拯救卡尔顿大学失足青年你做代理，可以挽救卡尔顿大学一个个人才你做代理，你将是别人人生卡尔顿大学的转折点你做代理，可以改变自己，改变他人，给他人和自己一个机会他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了活

哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样

axoqas

原版定制【Q微信:741003700】《(usq毕业证书)南昆士兰大学毕业证研究生文凭证书》【Q微信:741003700】成绩单、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【Q微信741003700】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信741003700】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。

FP Growth Algorithm and its Applications

MaleehaSheikh2

一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理

slg6lamcq

原版定制【微信:41543339】【(Adelaide毕业证书)阿德莱德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...

pchutichetpong

M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years. Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success. MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies. According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”

一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理

mbawufebxi

原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Machine learning and optimization techniques for electrical drives.pptx

balafet

一比一原版(NYU毕业证)纽约大学毕业证成绩单

ewymefz

NYU毕业证【微信95270640】《如何办理NYU毕业证纽约大学文凭学历》【Q微信95270640】《纽约大学文凭学历证书》《纽约大学毕业证书与成绩单样本图片》毕业证书补办 Fake Degree做学费单《毕业证明信-推荐信》成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！【本科硕士】纽约大学纽约大学毕业证学位证（GPA修改）；学历认证（教育部认证）；大学Offer录取通知书留信认证使馆认证；雅思语言证书等高仿类证书。办理流程： 1客户提供办理纽约大学纽约大学毕业证学位证信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）真实网上可查的证明材料 1教育部学历学位认证留服官网真实存档可查永久存档。 2留学回国人员证明（使馆认证）使馆网站真实存档可查。我们对海外大学及学院的毕业证成绩单所使用的材料尺寸大小防伪结构（包括：纽约大学纽约大学毕业证学位证隐形水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪）都有原版本文凭对照。质量得到了广大海外客户群体的认可同时和海外学校留学中介做到与时俱进及时掌握各大院校的（毕业证成绩单资格证结业证录取通知书在读证明等相关材料）的版本更新信息能够在第一时间掌握最新的海外学历文凭的样版尺寸大小纸张材质防伪技术等等并在第一时间收集到原版实物以求达到客户的需求。本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元够他挣上半个月的山娃很不解一向节俭的父亲啥时变得如此阔绰大方大把大把掏钱时居然连眉头也不皱一下车票早买好了直达卧铺车得经子

Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation

Boston Institute of Analytics

Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf

Linda486226

Criminal IP - Threat Hunting Webinar.pdf

Criminal IP

一比一原版(UVic毕业证)维多利亚大学毕业证成绩单

ukgaet

UVic毕业证【微信95270640】（维多利亚大学毕业证成绩单本科学历）Q微信95270640(补办UVic学位文凭证书)维多利亚大学留信网学历认证怎么办理维多利亚大学毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假维多利亚大学假文凭学位证书制作UVic本科毕业证书硕士学位证书精仿维多利亚大学学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！【实体公司】办维多利亚大学维多利亚大学毕业证文凭证书学历认证学位证文凭认证办留信网认证办留服认证办教育部认证（网上可查实体公司专业可靠） — — — 留学归国服务中心 — — - 【主营项目】一.维多利亚大学毕业证成绩单使馆认证教育部认证成绩单等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 国外毕业证学位证成绩单办理流程： 1客户提供维多利亚大学维多利亚大学毕业证文凭证书办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。专业服务请勿犹豫联系我！本公司是留学创业和海归创业者们的桥梁。一次办理终生受用一步到位高效服务。详情请在线咨询办理,欢迎有诚意办理的客户咨询!洽谈。招聘代理：本公司诚聘英国加拿大澳洲新西兰美国法国德国新加坡各地代理人员如果你有业余时间有兴趣就请联系我们咨询顾问：+微信:95270640刀劈开抑或用拳头砸开每人抱起一大块就啃啃得满嘴满脸猴屁股般的红艳大家一个劲地指着对方吃吃地笑瓜裂得古怪奇形怪状却丝毫不影响瓜味甜丝丝的满嘴生津遍地都是瓜横七竖八的活像掷满了一地的大石块摘走二三只爷爷是断然发现不了的即便发现爷爷也不恼反而教山娃辨认孰熟孰嫩孰甜孰淡名义上是护瓜往往在瓜棚里坐上一刻饱吃一顿后山娃就领着阿黑漫山遍野地跑阿黑是一条黑色的大猎狗挺机灵的是山娃多年的忠实伙伴平时山娃上学阿黑也静

做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样

axoqas

原版定制【Q微信:741003700】《(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书》【Q微信:741003700】成绩单、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【Q微信741003700】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信741003700】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...

Subhajit Sahu

Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.

一比一原版(CBU毕业证)卡普顿大学毕业证如何办理

ahzuo

CBU毕业证offer【微信95270640】《卡普顿大学毕业证书》《QQ微信95270640》学位证书电子版：在线制作卡普顿大学毕业证成绩单GPA修改（制作CBU毕业证成绩单CBU文凭证书样本）、卡普顿大学毕业证书与成绩单样本图片、《CBU学历证书学位证书》、卡普顿大学毕业证案例毕业证书制作軟體、在线制作加拿大硕士学历证书真实可查. 如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】 1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640 2、面对父母的压力，希望尽快拿到卡普顿大学卡普顿大学毕业证成绩单； 3、不清楚流程以及材料该如何准备卡普顿大学卡普顿大学毕业证成绩单； 4、回国时间很长，忘记办理； 5、回国马上就要找工作，办给用人单位看； 6、企事业单位必须要求办理的；面向美国乔治城大学毕业留学生提供以下服务: 【★卡普顿大学卡普顿大学毕业证成绩单毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】【★真实使馆认证（留学人员回国证明），使馆存档可通过大使馆查询确认】【★真实教育部认证，教育部存档，教育部留服网站可查】【★真实留信认证，留信网入库存档，可查卡普顿大学卡普顿大学毕业证成绩单】我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。专业服务，请勿犹豫联系我如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我你赢我赢，共创双赢你做代理，可以帮助卡普顿大学同学朋友你做代理，可以拯救卡普顿大学失足青年你做代理，可以挽救卡普顿大学一个个人才你做代理，你将是别人人生卡普顿大学的转折点你做代理，可以改变自己，改变他人，给他人和自己一个机会道银边山娃摸索着扯了扯灯绳小屋顿时一片刺眼的亮瞅瞅床头的诺基亚山娃苦笑着摇了摇头连他自己都感到奇怪居然又睡到上午点半掐指算算随父亲进城已一个多星期了山娃几乎天天起得这么迟在乡下老家暑假五点多山娃就醒来在爷爷奶奶嘁嘁喳喳的忙碌声中一骨碌爬起把牛驱到后龙山再从莲塘里采回一蛇皮袋湿漉漉的莲蓬也才点多点半早就吃过早餐玩耍去了山娃的家在闽西山区依山傍水山清水秀门前潺潺流淌的蜿蜒小溪一直都是山娃和小伙伴们盛试

一比一原版(QU毕业证)皇后大学毕业证成绩单

enxupq

QU毕业证【微信95270640】办理皇后大学毕业证原版一模一样、QU毕业证制作【Q微信95270640】《皇后大学毕业证购买流程》《QU成绩单制作》皇后大学毕业证书QU毕业证文凭皇后大学本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。 1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。可办理以下真实皇后大学存档留学生信息存档认证： 1皇后大学真实留信网认证（网上可查永久存档无风险百分百成功入库）； 2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）； 3购买英美真实学籍（不用正常就读直接出学历）； 4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）留学本科/硕士毕业证书成绩单制作流程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询皇后大学皇后大学硕士毕业证成绩单）； 2开始安排制作皇后大学毕业证成绩单电子图； 3皇后大学毕业证成绩单电子版做好以后发送给您确认； 4皇后大学毕业证成绩单电子版您确认信息无误之后安排制作成品； 5皇后大学成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — — — — — — — — 《文凭顾问Q/微：95270640》很感动很无奈房东的儿子小伍笨手笨脚的不会说普通话满口粤语态度十分傲慢一副盛气凌人的样子山娃试图接近他跟他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆义

The affect of service quality and online reviews on customer loyalty in the E...

jerlynmaetalle

一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单

ewymefz

UPenn毕业证【微信95270640】办理宾夕法尼亚大学毕业证原版一模一样、UPenn毕业证制作【Q微信95270640】《宾夕法尼亚大学毕业证购买流程》《UPenn成绩单制作》宾夕法尼亚大学毕业证书UPenn毕业证文凭宾夕法尼亚大学本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。办国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单教育部学历学位认证留信认证大使馆认证留学回国人员证明修改成绩单信封申请学校offer录取通知书在读证明offer letter。快速办理高仿国外毕业证成绩单： 1宾夕法尼亚大学毕业证+成绩单+留学回国人员证明+教育部学历认证（全套留学回国必备证明材料给父母及亲朋好友一份完美交代）; 2雅思成绩单托福成绩单OFFER在读证明等留学相关材料（申请学校转学甚至是申请工签都可以用到）。 3.毕业证 #成绩单等全套材料从防伪到印刷从水印到钢印烫金高精仿度跟学校原版100%相同。专业服务请勿犹豫联系我！联系人微信号：95270640诚招代理：本公司诚聘当地代理人员如果你有业余时间有兴趣就请联系我们。国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单办理过程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。我们在哪里父母对我们的爱和思念为我们的生命增加了光彩给予我们自由追求的力量生活的力量我们也不忘感恩正因为这股感恩的线牵着我们使我们在一年的结束时刻义无反顾的踏上了回家的旅途人们常说父母恩最难回报愿我能以当年爸爸妈妈对待小时候的我们那样耐心温柔地对待我将渐渐老去的父母体谅他们以反哺之心奉敬父母以感恩之心孝顺父母哪怕只为父母换洗衣服为父母喂饭送汤按摩酸痛的腰背握着父母的手扶着他们一步一步地慢慢散步.娃

一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单

vcaxypu

ArtEZ毕业证【微信95270640】☀《ArtEZ艺术学院毕业证购买》Q微信95270640《ArtEZ毕业证模板办理》文凭、本科、硕士、研究生学历都可以做,《文凭ArtEZ毕业证书原版制作ArtEZ成绩单》《仿制ArtEZ毕业证成绩单ArtEZ艺术学院学位证书pdf电子图》毕业证 [留学文凭学历认证(留信认证使馆认证)ArtEZ艺术学院毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。国外毕业证学位证成绩单办理方法： 1客户提供办理ArtEZ艺术学院ArtEZ艺术学院毕业证假文凭信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — - 一真实留信认证的作用(私企外企荣誉的见证): 1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。 2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。 3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。 4：个人职称评审加20分个人信誉贷款加10分。 5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气不能跟陌生人搭腔更不能乱跑一怕迷路二怕拐子拐人山娃很惊惧去年村里的田鸡就因为跟父亲进城一不小心被人拐跑了至今不见踪影害得田鸡娘天天哭得死去活来疯了一般那情那景无不令人摧肝裂肺山娃很听话天天呆在小屋里除了看书写作业就是睡带

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单

ewymefz

UMich毕业证【微信95270640】办理UMich毕业证【Q微信95270640】密歇根大学|安娜堡分校毕业证书原版↑制作密歇根大学|安娜堡分校学历认证文凭办理密歇根大学|安娜堡分校留信网认证,留学回国办理毕业证成绩单文凭学历认证【Q微信95270640】专业为海外学子办理毕业证成绩单、文凭制作，学历仿制，回国人员证明、做文凭，研究生、本科、硕士学历认证、留信认证、结业证、学位证书样本、美国教育部认证百分百真实存档可查】【本科硕士】密歇根大学|安娜堡分校密歇根大学|安娜堡分校硕士毕业证成绩单（GPA修改）；学历认证（教育部认证）；大学Offer录取通知书留信认证使馆认证；雅思语言证书等高仿类证书。办理流程： 1客户提供办理密歇根大学|安娜堡分校密歇根大学|安娜堡分校硕士毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）真实网上可查的证明材料 1教育部学历学位认证留服官网真实存档可查永久存档。 2留学回国人员证明（使馆认证）使馆网站真实存档可查。我们对海外大学及学院的毕业证成绩单所使用的材料尺寸大小防伪结构（包括：密歇根大学|安娜堡分校密歇根大学|安娜堡分校硕士毕业证成绩单隐形水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪）都有原版本文凭对照。质量得到了广大海外客户群体的认可同时和海外学校留学中介做到与时俱进及时掌握各大院校的（毕业证成绩单资格证结业证录取通知书在读证明等相关材料）的版本更新信息能够在第一时间掌握最新的海外学历文凭的样版尺寸大小纸张材质防伪技术等等并在第一时间收集到原版实物以求达到客户的需求。本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线在我脑海中回旋很幸运我有这样的机会能将埋在心底深深的感激之情得以表达从婴儿的“哇哇坠地到哺育我长大您们花去了多少的心血与汗水编织了多少个日日夜夜从上小学到初中乃至大学燃烧着自己默默奉献着光和热全天下的父母都是仁慈的无私的伟大的所以无论何时何地都不要忘记您们是这样的无私将一份沉甸甸的爱和希望传递到我们的眼里和心中而我应做的就是感恩父母回报社会共创和谐父母对我们的恩情深厚而无私孝敬父母是我们做人元

Recently uploaded (20)

一比一原版(CU毕业证)卡尔顿大学毕业证成绩单

哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样

FP Growth Algorithm and its Applications

一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理

Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...

一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理

Machine learning and optimization techniques for electrical drives.pptx

一比一原版(NYU毕业证)纽约大学毕业证成绩单

Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation

Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf

Criminal IP - Threat Hunting Webinar.pdf

一比一原版(UVic毕业证)维多利亚大学毕业证成绩单

做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...

一比一原版(CBU毕业证)卡普顿大学毕业证如何办理

一比一原版(QU毕业证)皇后大学毕业证成绩单

The affect of service quality and online reviews on customer loyalty in the E...

一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单

一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单

Data Science Development with Impact

1. Data Science Development with Impact PAW Berlin 2018 Norbert Wirth @Bert_feed

2. PwC 2 Cost- focused Intuitive business insights Siloed decision making Pre Value- focused Data and analytics driven business insights + intuition Collaborative decision- making Post Businesses want…

3. PwC 3 Welcome to the data driven organization

4. PwC 4 Welcome to the analytics driven organization

5. Building analytics capabilities requires overcoming barriers that are common across industries PwC 5 Which of these barriers sound familiar to you? BehavioralOrganizationalStructural Fragmented Analytics teams Limited focus on incubating future vision Insufficient funding Unclear governance structure Lack of cross-functional problem-solving Collaboration impeded by competition Intuitive vs data-driven decision-making Company culture Lack of information sharing Spotlight on near-term solution Legacy infrastructure Multiple platforms and tools Complex data environment Poor data quality Lack of trained staff Lack scalability

6. PwC 6 Money & Risks

7. PwC 7 …when doing

8. PwC 8 Describe, summarize and analyze historical data Recommend ‘right’ or optimal actions or decisions Monitor, decide, and act autonomously or semi-autonomously Predict future outcomes based on facts from the past and simulations Descriptive Predictive Prescriptive AI/Cognitive IncreasingBusinessValue Identify causes of trends and outcomes Diagnostic Increasing Sophistication of Data & Analytics (What happened?) (Why it happened?) (What could happen?) (What should be done?) (How do we adapt to change?) Continuum of analytics capabilities

9. PwC 9 Descriptive Predictive Prescriptive AI/Cognitive IncreasingBusinessValue Diagnostic Increasing Sophistication of Data & Analytics Where’s the money?

10. PwC 10 Descriptive Predictive Prescriptive AI/Cognitive IncreasingBusinessValue Diagnostic Increasing Sophistication of Data & Analytics How big is the risk?

11. PwC 11 Data Scientists

12. PwC 12 What could possibly go wrong?

14. PwC 14 The POC trap

15. PwC 15 We don’t want to end up delivering no impact

16. PwC 16 Get it to work

17. PwC 17 Good idea to define impact

18. PwC 18 Being a smart genius won’t do the trick. Quite the opposite!

19. PwC 19 About being a sprocket

20. PwC 20 The implementation scenario

21. PwC 21 Agile and free?

22. PwC 22 Planning

23. PwC 23 Shippable increments

24. PwC 24 The invention risk

25. PwC 25 scope quality

26. PwC 26 No throwing over the fence (♥ dev ops)

27. PwC 27 Automate!

28. PwC 28 Microservices are good

29. PwC 29 Dream team Backend developer Frontend developer UCD/UX/UI QA Architect Product owner Technical P.owner Data Scientist B. Data engineer Scrum master ML engineer

30. PwC 30  Define impact  Implementation scenario  Risks, structure, org. & behaviour  Work really agile  Find your flexible dimension  Microservices  Automate  Team play w. clear roles  Just see $$  Run into the POC trap  Think data=solution  Think you can fix everything  Don’t plan  Waterfall  Monolithic systems  Ops will run the stuff Key takeaways

31. PwC 31 norbert.wirth@pwc.com @Bert_feed https://www.linkedin.com/in/norbertwirth/

Data Science Development with Impact

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Data Science Development with Impact

Similar to Data Science Development with Impact (20)

More from Rising Media Ltd.

More from Rising Media Ltd. (20)

Recently uploaded

Recently uploaded (20)

Data Science Development with Impact