The document discusses the guiding principles of the Blitz approach to career advancement. It outlines 10 principles: 1) career self-reliance, 2) shared responsibility, 3) perception management, 4) shared success, 5) shared vision, 6) trust, 7) accountability, 8) innovation, 9) communication, and 10) commitment. The principles are meant to guide career teams in developing and implementing strategies using the Blitz approach. Effective application of these principles can help career teams overcome obstacles and achieve their goals through collaborative effort.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
ML Drift - How to find issues before they become problemsAmy Hodler
Over time, our AI predictions degrade. Full Stop.
Whether it's concept drift where the relationships of our data to what we're trying to predict as changed or data drift where our production data no longer resembles the historical training data, identifying meaningful ML drift versus spurious or acceptable drift is tedious. Not to mention the difficulty of uncovering which ML features are the source of poorer accuracy.
This session looked at the key types of machine learning drift and how to catch them before they become a problem.
Introduction to Data Visualization: History, Concept, Methods (HCI Korea 2014)Hannah Song
Tutorial session in HCI Korea 2014 held in Kangwon Land.
This tutorial provides basic knowledge like short history, related concepts, and useful methods about data visualization for beginners.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
ML Drift - How to find issues before they become problemsAmy Hodler
Over time, our AI predictions degrade. Full Stop.
Whether it's concept drift where the relationships of our data to what we're trying to predict as changed or data drift where our production data no longer resembles the historical training data, identifying meaningful ML drift versus spurious or acceptable drift is tedious. Not to mention the difficulty of uncovering which ML features are the source of poorer accuracy.
This session looked at the key types of machine learning drift and how to catch them before they become a problem.
Introduction to Data Visualization: History, Concept, Methods (HCI Korea 2014)Hannah Song
Tutorial session in HCI Korea 2014 held in Kangwon Land.
This tutorial provides basic knowledge like short history, related concepts, and useful methods about data visualization for beginners.
In order to find value in your organization’s data assets, heroic Data Stewards are tasked with saving the day—every single day! These heroes adhere to a Data Governance framework and work to ensure that data is captured right the first time, validated through automated means, and integrated into business processes. Whether it’s data profiling or in-depth root cause analysis, Data Stewards can be counted on to ensure the organization’s mission-critical data is reliable. In this webinar, we will approach this framework and punctuate important facets of a Data Steward’s role.
- Understand the business need for a Data Governance framework
- Learn why embedded Data Quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data-driven culture
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
Data Versioning and Reproducible ML with DVC and MLflowDatabricks
Machine Learning development involves comparing models and storing the artifacts they produced. We often compare several algorithms to select the most efficient ones. We assess different hyper-parameters to fine-tune the model. Git helps us store multiple versions of our code. Additionally, we need to keep track of the datasets we are using. This is important not only for audit purposes but also for assessing the performances of the models, developed at a later time. Git is a standard code versioning tool in software development. It can be used to store your datasets but it does not offer an optimal solution.
Our regular Introduction to Data Management (DM) workshop (90-minutes). Covers very basic DM topics and concepts. Audience is graduate students from all disciplines. Most of the content is in the NOTES FIELD.
The purpose of this presentation is providing an overview of the main approaches in using big data: data focus vs. business analytics focus. The following topics will be covered:
- Why getting data should not be a starting point in business analytics, and why more data not always result in more accurate predictions
- The simulation analytics methodology in comparison to machine learning and data science approach
- Examples of two business cases:
(i) Healthcare: Pediatric Triage in a Severe Pandemic-Maximizing Population Survival by Establishing Admission Thresholds
(ii) Banking & Finance: Analysis of the staffing and utilization of a team of mutual fund analysts for timely producing ‘buy-sell’ reports
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Real-World Data Governance: Data Governance Roles & ResponsibilitiesDATAVERSITY
Well thought out data governance roles and responsibilities lie at the heart of successful data governance programs. All activities focus on the roles. From how we recognize stewards and apply governance, to how we engage and communicate with the people in the roles – the roles become the operating model for how governance works.
Join Bob Seiner for this month’s installment of the DATAVERSITY Real-World Data Governance webinar series focused on defining an operating model that can be assimilated to your organization. This model includes an easy-to-explain set of roles and responsibilities aligned with how your organization functions.
The session will cover:
Operational, Tactical, Strategic and Support Roles
How to recognize your stewards and other roles
How to apply roles consistently through all facets of your program
Providing incentive for active involvement
More and more frequently I need to explain to people the concept of Social Media Intelligence (SOCMINT).
This is a simple slidedeck to introduce people the new concept and its value in digital marketing and strategy and what is the power behind it.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Big Data Strategies – Organizational Structure and TechnologyDATAVERSITY
Many CDOs and Data Scientists came into being as part of a Big Data program. In many shops Big Data is the core driver for better Data Governance (DG) and Data Management (DM), and the sole evidence of the value of DM and DG. Big Data is also leaving the “hype cycle” and becoming embedded as part of the DM tool kit.
This webinar will review what is working and what is not working in the Big Data realm. John and Kelle will not only address the technology progress, but also the organizational and management lessons learned, and will present what works and what does not.
In this webinar we will cover:
The state of Hadoop, MapReduce and the other “old” big data technologies
New technologies and approaches
An overview of organization and management of big data functions
INDIAN STATISTICAL INSTITUTE
Documentation Research & Training Centre
8th Mile, Mysore Road, RVCE Post
Bangalore-560 059
DRTC Seminar- 5
2014
Data Literacy
ABSTRACT
In our increasingly data-driven society, data literacy is an important civic skill which we should be developing in our society. Data is slowly but steadily forcing their way into the societies. Data literacy may seem less technical than either Computer Science or any other fields. Still we need to envisage a wide variety of tools for accessing, converting and manipulating data. These require to understand relational databases (like MS Access), data manipulation techniques, statistical software tools (like Minitab, SPSS, STATA and MS Excel) and data representation software tools (like MS PowerPoint and MS Excel). This seminar includes an introduction on data literacy, its inter-relationship with information literacy and statistical literacy. It also includes various steps for working with data followed by short demonstration of data analysis techniques by using the software STATA11.
Speaker: Jayanta Kr. Nayek
Date:29 .10.2014. Time: 2 p.m.
Venue: DRTC, ISI Bangalore.
All are cordially invited.
Seminar Coordinator
Biswanath Dutta
This presentation introduces some concepts of Data Analytics including: Data Science, Big Data, Social Network Analysis, Process Mining, Market Basket Analysis, and Pattern Recognition
This ppt includes -
History
Introduction
R Basics
Download and Install R
GUI /IDE
Datatypes and Operators
Conditional Statements and Loops
Functions
Plotting
Features
Comparison with other programming languages
Merits / Advantages
Demerits / Disadvantages
Conclusion
In order to find value in your organization’s data assets, heroic Data Stewards are tasked with saving the day—every single day! These heroes adhere to a Data Governance framework and work to ensure that data is captured right the first time, validated through automated means, and integrated into business processes. Whether it’s data profiling or in-depth root cause analysis, Data Stewards can be counted on to ensure the organization’s mission-critical data is reliable. In this webinar, we will approach this framework and punctuate important facets of a Data Steward’s role.
- Understand the business need for a Data Governance framework
- Learn why embedded Data Quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data-driven culture
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
Data Versioning and Reproducible ML with DVC and MLflowDatabricks
Machine Learning development involves comparing models and storing the artifacts they produced. We often compare several algorithms to select the most efficient ones. We assess different hyper-parameters to fine-tune the model. Git helps us store multiple versions of our code. Additionally, we need to keep track of the datasets we are using. This is important not only for audit purposes but also for assessing the performances of the models, developed at a later time. Git is a standard code versioning tool in software development. It can be used to store your datasets but it does not offer an optimal solution.
Our regular Introduction to Data Management (DM) workshop (90-minutes). Covers very basic DM topics and concepts. Audience is graduate students from all disciplines. Most of the content is in the NOTES FIELD.
The purpose of this presentation is providing an overview of the main approaches in using big data: data focus vs. business analytics focus. The following topics will be covered:
- Why getting data should not be a starting point in business analytics, and why more data not always result in more accurate predictions
- The simulation analytics methodology in comparison to machine learning and data science approach
- Examples of two business cases:
(i) Healthcare: Pediatric Triage in a Severe Pandemic-Maximizing Population Survival by Establishing Admission Thresholds
(ii) Banking & Finance: Analysis of the staffing and utilization of a team of mutual fund analysts for timely producing ‘buy-sell’ reports
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Real-World Data Governance: Data Governance Roles & ResponsibilitiesDATAVERSITY
Well thought out data governance roles and responsibilities lie at the heart of successful data governance programs. All activities focus on the roles. From how we recognize stewards and apply governance, to how we engage and communicate with the people in the roles – the roles become the operating model for how governance works.
Join Bob Seiner for this month’s installment of the DATAVERSITY Real-World Data Governance webinar series focused on defining an operating model that can be assimilated to your organization. This model includes an easy-to-explain set of roles and responsibilities aligned with how your organization functions.
The session will cover:
Operational, Tactical, Strategic and Support Roles
How to recognize your stewards and other roles
How to apply roles consistently through all facets of your program
Providing incentive for active involvement
More and more frequently I need to explain to people the concept of Social Media Intelligence (SOCMINT).
This is a simple slidedeck to introduce people the new concept and its value in digital marketing and strategy and what is the power behind it.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Big Data Strategies – Organizational Structure and TechnologyDATAVERSITY
Many CDOs and Data Scientists came into being as part of a Big Data program. In many shops Big Data is the core driver for better Data Governance (DG) and Data Management (DM), and the sole evidence of the value of DM and DG. Big Data is also leaving the “hype cycle” and becoming embedded as part of the DM tool kit.
This webinar will review what is working and what is not working in the Big Data realm. John and Kelle will not only address the technology progress, but also the organizational and management lessons learned, and will present what works and what does not.
In this webinar we will cover:
The state of Hadoop, MapReduce and the other “old” big data technologies
New technologies and approaches
An overview of organization and management of big data functions
INDIAN STATISTICAL INSTITUTE
Documentation Research & Training Centre
8th Mile, Mysore Road, RVCE Post
Bangalore-560 059
DRTC Seminar- 5
2014
Data Literacy
ABSTRACT
In our increasingly data-driven society, data literacy is an important civic skill which we should be developing in our society. Data is slowly but steadily forcing their way into the societies. Data literacy may seem less technical than either Computer Science or any other fields. Still we need to envisage a wide variety of tools for accessing, converting and manipulating data. These require to understand relational databases (like MS Access), data manipulation techniques, statistical software tools (like Minitab, SPSS, STATA and MS Excel) and data representation software tools (like MS PowerPoint and MS Excel). This seminar includes an introduction on data literacy, its inter-relationship with information literacy and statistical literacy. It also includes various steps for working with data followed by short demonstration of data analysis techniques by using the software STATA11.
Speaker: Jayanta Kr. Nayek
Date:29 .10.2014. Time: 2 p.m.
Venue: DRTC, ISI Bangalore.
All are cordially invited.
Seminar Coordinator
Biswanath Dutta
This presentation introduces some concepts of Data Analytics including: Data Science, Big Data, Social Network Analysis, Process Mining, Market Basket Analysis, and Pattern Recognition
This ppt includes -
History
Introduction
R Basics
Download and Install R
GUI /IDE
Datatypes and Operators
Conditional Statements and Loops
Functions
Plotting
Features
Comparison with other programming languages
Merits / Advantages
Demerits / Disadvantages
Conclusion
Construccion y demolicion del mural de ceramica, realizado por Fernando Llort, que estaba colocado en la fachada de la Catedral de San Salvador (El Salvador)
Leaders accomplish their visions through personal growth and personnel growth. How?
Discover 6 ways to grow the team(s) you lead.
Learn the 1 thing teams need to be the "perfect" team.
Uncover the real meaning and importance of vulnerability for success in the workplace.
Leaders at Every Level - An introduction to intentional influenceStanley Ward, Ph.D.
This presentation introduces viewers to "intentional influence" - how they can become leaders in an organization or community, no matter what their current position or title.
This is my review about the book. each one of us need a personal plan not only because our life is limited. But about the quality of the time! how we can live the life with quality because we deserve a god journey .
Growth mindset: Which is more important: “growth” or “mindset?” The answer is both, but let’s flip the terms. First, a leader must have the right mindset, and only then can a leader nurture growth. Jack Welch, longtime CEO of GE, said, “Before you are a leader, success is all about growing yourself. When you become a leader, success is all about growing others.” Discover ways to flourish in education in this engaging session on leadership and the growth mindset.
The reluctance gap creates a barrier between every layer of functional leadership and collectively accounts for a substantial amount of 'missing' leadership capability. Addressing the gap allows leaders to be fully present and engaged and they can, in turn, build engaged teams
Too often in the business world, we neglect consideration of psychology, emotion, and what is going on inour heads. We do whatever we can to maintain the pretense that we are emotionless bots, and“professionals” who aren’t rattled. The problem is, we are not emotionless. We are easily rattled. We wastea lot of time waging internal battles over who did what or who said what, who is to blame, which problemsmight occur, why things went wrong or may go wrong, or imagined slights and drama between us andothers
INFLUENCE: A Brain-based Approach for Stand-out LeadershipDan Beverly
Great leadership is nowhere better marked than by the ability to improve another person's thinking. In this series, get the brain-based approach to 3 key leadership traits, starting here with: INFLUENCE.
I had to present months ago to the team about a topic I was interested in and thought would be great to share in hope that it would be useful at work. I've finally put it on SlideShare. Hopefully this presentation lights a spark in you as it did with me as I was reading up on it.
Under mentioned five simple exercises can help you recognize, and start to shift, the mind-sets that limit your potential as a leader.
1. Find your strengths
2. Practice the pause
3. Forge trust
4. Choose your questions wisely
5. Make time to recover
Leadership is an important skill, but even more important is the ability to lead well. A strong leader inspires, encourages, and empowers those around them. Here we share with you several of the skills associated with successful leaders and what it means to embody those abilities as a truly great leader.