Name: Master Data, Master Data Management and MDM Implementation Patterns
Start: 2020-12-15T07:00:00Z
End: 2020-12-15T07:00:48.000Z
Location: BrightTALK
Rating: 5

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Deriving insights from data and analytics is an expensive and time-consuming endeavor.  Hence all the hard work involved in deriving insights should be communicated well to the stakeholders so that appropriate business efficiencies can be realized from the insights. So, how can one effectively present the insights? One effective best practice technique is data storytelling. Fundamentally data storytelling is communicating the insights from data and analytics in a structured manner. In this presentation, Dr. Southekal looks at the six dimensions in data storytelling to transform insights into decisions. This presentation is based on Dr.Southekal’s latest book – Analytics Best Practices

Six dimensions in data storytelling to transform insights into decisions

Investment management has traditionally been looked at as a linear field, but economic systems are complex, high dimensional & non-linear. With the advances made in big data and machine learning, researchers are finding greater use of machine learning in investment management. We'll explore this in the webinar

Machine Learning in Investment Management

Everyday thousands of people are bullied, blackmailed, silenced and scammed online using fake photos, fake videos and misinformation. It is getting easier to (i) selectively edit photos, videos and audio, (ii) manipulate metadata of media content and (iii) even generate fully artificial videos (Eg: deepfakes). Fakes are used to spread misinformation and create socio-economic and political chaos. This is leading us towards a post-truth dystopia. Also, sometimes malicious people falsely accuse genuine videos (or photos, audio) as fakes, to promote their self-interests.

In this talk, I will present an implementation of a Blockchain-powered 'truth machine' (a mobile app) to enable a global borderless decentralized citizen photo journalism. Our technology incentivizes the spread of truth and controls misinformation before it spreads. Our app lets anyone create, share, buy, sell and trade unedited, unfiltered, verifiable and tamper-evident photos and videos. The users may choose to be anonymous, pseudonymous or use their real identities. Our built-in blockchain provides a verifiable certificate to prove that they are not fake or photoshopped or deepfaked.  Our mission is to put a truth machine in everyone's pocket and enable a global borderless citizen photo journalism and true photography.

Our built-in marketplace provides new economic opportunities for photographers, photo journalists and anyone with an iOS device. Every photo, video and audio created using True Dat app is a unique cryptographically-signed, verifiable and tamper-evident asset. The provenance and the digital rights of these assets are securely tracked and seamlessly transferred using our EulerChain blockchain.

Blockchain-powered Full Stack Citizen Photo Journalism

Artificial Intelligence (AI) techniques are enjoying rapid adoption by all sizes of businesses across the world. However, evolving AI from
“Prototyping” activities to “Production” face many challenges, in large part due to the radically different development and deployment profile of
modern Machine Learning (ML) methods, and the range of practical issues that come with real-world use cases.

This webinar will identify the challenges and demonstrate how these challenges could be mitigated with a remarkably scalable, flexible and
extensible ML platform.

Fastest Way to go from Prototype to Production with Machine Learning

This webinar will cover the basics of Master Data, its significance to the enterprise and how it can be stored and managed efficiently using Master Data Management (MDM) platforms. You will also learn about the basics of MDM, why it is growing in importance and the different implementation architecture patterns that enterprises adopt to leverage their Master Data. We will also unveil a brand new MDM implementation pattern that is going to be widely used in the ongoing B-B-C transition accelerated by the growing importance of Ecommerce to every type of enterprise

Master Data, Master Data Management and MDM Implementation Patterns

Real Time data processing takes key focus in enabling creation of a Digital Twin to conduct what-if studies. An efficient Data Center Lifecycle Management System helps with areas like Alarm Management, Asset Management, Rack Capacity, Rack Cooling Index, Service Level Agreements in order to constantly help modernize the Data Center. 
This webinar delves into the modernizing the operations side of Data Center using efficient DCLCM systems.
Key Takeaways: Life Cycle Management, Asset Management, Digital Twin, What if scenarios, Alarms, Rack Cooling Index, Insight to incremental modernization.

Modernize your data center using an efficient Lifecycle Management System

Time spent researching, implementing, and maintaining your business intelligence (BI) investment can snowball quickly, and mistakes are often expensive. In this webinar, Prash Chandramohan, Director, Product Marketing at Informatica will discuss ten steps that help you ensure your BI initiative delivers successful results on an ongoing basis

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

How to Implement a Successful Business Intelligence Initiative

This topic will discuss  the different strategies to streamline ITSM, to enhance  and manage IT Security

You will learn:
⦁   How to Focus on the processes and leverage with technology
⦁   ITIL Best practices - Align  the energy of IT  and with the business objectives
⦁   How to streamline the ITSM processes from the IT security perspective and ensure  IT services is efficiently managed, and fully secured
⦁   How streamlining  the processes and use of right technology helps to manage IT access governance and compliance

Strategies to streamline ITSM : IT Security Management Perspective

Our current health system in the United States operates in a silo model that is plagued by broken feedback loops that lead to misaligned incentives between payers, providers, managed care organizations, and social service agencies. A dearth of communication and interoperability between systems contributes to uncontrolled costs and missed opportunities to improve operational efficiency. Furthermore, the most vulnerably patients - individuals who experience adverse social determinants of health in addition to medical and/or behavioral challenges – are often excluded or made worse by the system’s inability to coordinate care across social and medical domains. With a universe of data at our fingertips, we can and must find creative solutions to these problems.

By bringing together social and medical data, we can see a more global view of the healthcare system – more specifically, where it’s working and failing. By linking social and medical utilization data from the whole ecosystem of care, we quickly see overlaps in care, avoidable redundancies in services used, and unmet needs on a population level. We integrate these insights into a comprehensive health management system that supports shared care plans between social and medical agencies, providing a holistic view of patient needs through real-time dashboards.

While we have a long way to go to fix our healthcare system, we have the data to help move us towards a more equitable solution, where healthcare can be affordable and accessible to all in our communities.

Health, Not Just Healthcare: A Data-driven Approach

Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge. 

In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance. 

A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.

Architecting Streaming Analytics Apps for Rapid Business Value

This topic will discuss in the current trend in the FinTech and Financial Services Sector and what are the security challenges and Risk factors and how to prepare yourself to mitigate them.

You will learn
*  What are all the major Financial Sectors and Factors leading to their 
innovation
*  Technology and Services overview in Various Financial Sectors
*   Security and Risks
             *   Data Security
             *   Cyber Security
             *   Regulatory and compliance risk
             *   Fraud and identity theft
             *   Third party reliance

Information Security in FinTech and Financial Services Sector

In recent years, diversity has come a long way nationally and internationally. Current data suggests that we still face challenges to engage diversity with inclusion. Per recent reports, the architecture/construction sector still lags and in need to empower women, practice equity and promote diversity. 

This presentation will review national efforts for D&I - where we were and where we are now.
We will try to understand the concept/forms of exclusion and how our efforts both at a personal level and professional level can eliminate it. Eventually, it is not about being a woman or a minority, it is about becoming aware of exclusive behavior and cultivating inclusive thoughts and actions. 

Takeaways:
1. Attendees will be able to understand the importance of inclusion & its relation to diversity. It is
very easy to exclude.
2. Participants will learn about women in the field of architecture and construction, challenges we
face and what the industry is doing to empower us.
3. We will discuss how to enhance relationships by valuing and respecting ethnic, cultural
differences and accommodating different stages of lives we all are in.

Building a Strong Foundation: An Architect’s Perspective on Inclusion

Deep dive into the ways machine learning and AI are becoming mainstream and enhancing analytics solutions and insights. 

The talk would aim to de-mystify AI and show that it has been mainstream for longer than we think at different levels of sophistication. Defining AI is the first step in understanding it. Understanding the tools and uses helps make it less intimidating. And knowing it is democratized allows anyone to work in AI. We would walk through real world examples of AI used for leisure, everyday work tasks, and move on to more sophisticated industry uses. All examples keeping in mind best practices to control the AI, which can be a fickle thing when left unchecked.

AI and ML: It's Been Mainstream for a Long Time

Today's consumers are demanding a customer service experience paradigm to keep up with their growing needs. From real-time instant responses to accessibility from a plethora of text and voice platforms, to understanding natural language. 

Recent advances in natural language understanding and processing (NLU/NLP) and machine learning have enabled automated chatbots to provide a unique experience for businesses and consumers to connect and converse. In this webinar, we will discuss how businesses can leverage the latest in artificial intelligence and deep learning to create conversational chatbot platforms to wow their customers.

About the speaker:
Girish MuckAI is VP of Business Development & Strategy at Passage AI. He has 20+ years experience bringing state-of-the-art technology solutions to market and held leadership roles at Juniper Networks, Reliance Jio, Entropic Communications, Westell, Arris, SBC Labs and Cascade. Girish holds a B.Tech from IIT Madras, MS and PhD from Boston University and MBA from the Wharton School. Girish is also the CEO of IIT Madras Foundation.

You Talkin' to Me? AI/NLP Conversational Chatbots for Next-Gen Customer Service

The artificial intelligence revolution is being enabled by the rapid increase in data, computing power in the cloud, and hardware accelerators like GPUs and algorithm innovations. However, only < 5% of organizations have adopted or deployed AI in their operations and > 80% are gathering knowledge and prototyping. 

In this webinar, we identify the challenges of transitioning from Prototype to Production. We break them down into four categories of challenges: 

1) Code portability, 
2) Scalability, 
3) Hyperparameter optimization or Automated machine learning, and
4) Model Deployment.

In this talk, we will address challenges 1 & 2 using RocketML to aid in building production-grade AI applications. These techniques will not only improve data scientists' productivity, but will also reduce total cost of ownership (TCO) compared to market incumbents.

The webinar is hosted by Fundoo.info and moderated by IITAGH Board Member.

Challenges Transitioning Machine Learning from Prototyping to Production Grade

Self-supervised machine learning, the next frontier in AI

Artificial Intelligence & Machine Learning: All to Know for a Successful 2021

Panel Discussion: Enabling Data Driven Supply Chains through Information Sharing

Tableau + COVID-19: Impactful Data Visualizations and Ethical Analytics

Defining the Data Economy: Data Production and Gathering

2021 Data & Analytics priorities for the CMO

How to Shape the Future of Analytics

Achieving a Single Source of Truth with Business Intelligence in Your Enterprise

Putting Big Data Self-Service Analytics in the hands of Business People

Panel Discussion: Expert Predictions - Trends in Big Data and Analytics in 2021

Bias in AI and Machine Learning Models

Customer Experience Focused Business Intelligence - Better with a CDP

Lessons from Massive Scale Growth – A case study in EdTech

The mosaic of platforms & services: System thinking in a customer insights era

Breaking Proof of Concept Cycle: Machine Learning from Idea to Production

Why “Where” is a Must Have for Data Science

Accelerating Analytics & ML in Financial Services in 2021 and Beyond

Achieving Ambitions: A Data Culture with Perpetual Learning

The 10 Vs of Big Data

Data Governance is Killing Your Business — Time to Fix It

Hulu: Driving Data Trust and Accessibility with Alation’s Data Catalog

Path to Brilliance: Building an Analytical Center of Excellence

How the ‘Cookie’ Crumbled: Preparing You for a Time Without Third-Party Cookies

Big Data: Tactics For Managing Legal Risks in the Operation & Sale of a Business

Rethinking Data Governance and Data Integration for a cloud-based digital world

Defining & Executing Your Data & AI Strategy: Best Practices & Lessons Learnt

5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption)

The rise of automated analytics and the demise of dashboards

Big Data and Analytics 2021: Trends and Outlook 2020

Data Management

Data Science

Ecommerce

Master Data Management

Master Data

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

Big Data and Data Management

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Information Technology

Get powerful emerging technology insights from influential experts. Connect with thought leaders and colleagues to get the most up-to-date knowledge on technologies like 3D printing, pervasive robotics, natural interfaces, connected everything and cognitive systems.

Emerging Technologies

The research and development community on BrightTALK brings together leading professionals in healthcare, technology and manufacturing to present on current topics in their fields. From big data in healthcare to online forensics training and medical research practices, the community is an exceptional resource for those looking to expand their knowledge. Be part of the conversation by joining the community and participating in interactive live webinars.

Master Data, Master Data Management and MDM Implementation Patterns

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