Name: Algorithmic Bias: How to understand, manage, and mitigate
Start: 2020-06-02T13:00:00Z
End: 2020-06-02T13:00:59.000Z
Location: BrightTALK
Rating: 4.5

Transforming the world’s best companies through the power of technology.
For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by our purpose, we partner with our clients from design to operation. Through our nimble approach, we identify their core challenges, and craft disruptive solutions that bring their vision to life. With deep domain expertise and a future-proof philosophy, we embed innovation and agility into our clients’ organizations—delivering measurable value and lasting change across industries, and around the world. Together, with over 26,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at ust.com.

Join UST's Workday Test Automation team for an insightful webinar demonstrating how you can gain rapid improvements and efficiencies around testing Workday and surrounding systems.

Discover how you can:
- reduce manual testing by up to 75%
- support rapid testing around reorganizations, M&A, open enrollment, and other key business events
- leverage no-code script-less automation tools to maintain Workday automation testing benefits after go-live
- enjoy seamless integration with ServiceNow, Salesforce, and MS Dynamics

We’ll address critical pain points and discuss flexible, cost-effective solutions. Learn how our automation testing-as-a-service can help you overcome challenges such as:
- lack of well-defined testing processes and conformance to stage gates
- long test cycle times due to manual testing
- lack of resources to support testing as well as during deployments and after go-live
- defect leakage to production and lack of end-to-end test coverage
- absence of standard metrics and reporting mechanisms
- inconsistent use of test automation
- scoping for Effective Performance Engineering

Our NoSkript® testing platform is one of UST’s Workday Accelerators that seamlessly integrates with leading cloud platforms and provides pre-built solutions to optimize your Workday investment.

Workday Test automation with NoSkript®

Are you struggling to keep up with the rapid pace of change in your organization, industry, or technology platform? Do you find it challenging to manage your stakeholders’ demands, prioritize enhancements, and control costs? These are just a few of the common challenges ServiceNow customers face. 

As an Elite ServiceNow Partner, the UST ServiceNow team has the expertise to help you overcome them. As a Centre of Excellence (CoE), UST ServiceNow manages multiple customers across industries with over 165 certified resources, with more than 60 engagements over the past six years. 

In this upcoming webinar, our Elite ServiceNow Partner CoE team will discuss solutions to tackle the five key challenge areas that every ServiceNow platform owner faces:

Keeping up with the Pace of Change: External/Market, Internal/Org, Functional/Process, and Technological/Platform 

Demand Management: Enhancement and Change Requests (Logging, Enriching, Analyzing, and Prioritizing), Infinite Demand / Finite Resources 

Stakeholder Management: Expectation Management, Consensus Building, Functional/Process Ownership 

Absorption and Adoption: Speed of Adoption, Usage of Features, User Experience of the Platform, Driving Innovation and Transformation leveraging the Platform 

Total Cost of Ownership: Licenses, Labor, Add-on software/products, Defining, Measuring, and Tracking RoI .

Register now to unlock the full potential of your ServiceNow implementation and take your organization to the next level.

Presenter:
Kailash Attal - SVP, Enterprise Services & Head of SaaS
Kailash drives creating, marketing, building, and implementing UST's Portfolio of Services in Enterprise SaaS space, which helps our customers in continuously increasing Return of Investment from their SaaS portfolio.

Overcome Challenges with ServiceNow Adoption and Throughput

Data Engineering evolved from ETL into ELT but struggled to address the challenge of delivering real-time insights. It is time for you to excel (XCL) - eXplore, Choose, and Load. By adopting a simplified “Shift-Left” Data Pipeline paradigm, UST IQ enables organizations to explore data in situ, delivering real-time insights.

Data Lake, Fabric, or Mesh, learn how you can XCL and accelerate your data’s Time to Value.

First ETL then ELT… so what’s next?

The healthcare industry is grappling with a shortage of resources due to economic uncertainties, skyrocketing demand, reduced operating margins, and additional administrative cost overheads. Several new trends, such as Intelligent Automation, Digitalization, and Telehealth, have emerged as fundamental driving forces to sustain and transform the healthcare industry during the pandemic and beyond. One of the most prominent among these, Intelligent Document Processing (IDP), has found widespread applications in the healthcare industry to digitize structured and unstructured data within the business automatically. IDP adoption grew 30-35% YoY among healthcare payers and a whopping 190-200% YoY among providers in 2020.
 
In this session, Anil Vijayan, Partner - Everest Group and Sajesh Gopinath, General Manager - UST SmartOps™, will explore:
• Challenges and emerging trends in the healthcare sector
• Adoption of Intelligent automation in the healthcare industry
• Critical capabilities of IDP solutions and their benefits for enterprises
• How the healthcare sector is exploiting IDP to address some of the challenges faced by the industry

How Intelligent Document Processing is transforming the Healthcare industry

Únase a Amazon Web Services AWS y UST el martes 22 de noviembre a las 10:00 am, para conocer:
• Como a través de la adopción de tecnología en la nube puede apoyar la aceleración de la innovación en su organización.
• Como la tecnología de AWS unida a las soluciones de SAP permiten ir más allá de la tradicional operación de los procesos críticos en la nube, agregando beneficios tangibles a su negocio y maximizando el valor de su inversión en la adopción de plataformas digitales.
• Como integrar SAP con AWS y hacer realidad los beneficios de la empresa inteligente como pilar fundamental de su transformación digital.
• Las opciones que facilitaran el proceso de migrar su solución SAP a AWS.

Descubra el poder de la nube para impulsar su negocio: re-imaginemos el éxito

With the rapid pace of digitalization, enterprises continue to adopt a multitude of technologies within critical business functions. Unfortunately, there’s little guidance and knowledge available to practitioners in the industry regarding AIOps, what it entails, and how it supports your business. Consequently, the focus and emphasis are on the technology and its deployment rather than the business value realized.
There is no one-size-fits-all in AIOps; hence, IT and Business teams will have business drivers specific to their operational model. However, unless we understand this rationale, it’s impossible to know what value you derive from adopting the technology or how you can map the business performance or ROI from it. 
In this webinar, our speakers will delve into the inner workings of AIOps deployment from both the technological and business perspective. They will discuss topics such as:

• How to look at the entire operations journey end to end holistically. 
• How to strategize the deployment and set expectations rooted in reality.
• Deriving value from your AIOps technology to ensure positive business outcomes. 

Join our speakers for this insightful discussion and make sure you get the most out of transitioning to AIOps!

The blueprint for maximizing business value from AIOps

"The Future of Data" is the latest in a series of Data Talks, UST IQ's thought leadership discussions on critical issues facing IT organizations.

Sripathi Jagannathan, GM, and Head of UST's Data Practice, hosts this conversation. As an avid Data Practitioner with over 25 years of experience, Sri's remit includes helping UST's clients define and implement their data strategy, design, and develop scalable data platforms, implement best practices, select tools, and establish centers of engineering excellence.

Joining Sri will be Brian Zhan, Product Manager for batch analytics at Starburst. Brian is currently focused on building better solutions and new features for managing and maintaining Data Pipelines as part of Starburst Enterprise. Prior to joining Starburst, Brian was Product Manager for Presto/Spark at Facebook. Additionally, as a Scout for Sequoia Capital, he is at the forefront of the Data startup ecosystem, evaluating exciting products and technologies.

Brian and Sri will share their unique perspective on the Future of Data, including

• The future of Data Lakes and the architectural choices around Data Mesh, Data Fabric 
• The current trends, use cases, and impact of Real-Time Analytics and batch processing
• The relevance and role of a Data Engineer in the modern data stack
• Products, Technologies, and Paradigms that will shape the Future of Data

Data Talks: The future of data

Digital Transformation, using technologies such as Intelligent Automation and Hyperautomation, initially focused on tactical improvement and cost. 

Enterprises now target broader transformation efforts. So, what has changed and why? 

This webinar examines the progression of process improvement efforts through three phases: 

1. the early tactical phase, 
2. the pandemic-driven automation phase
3. a new direction called the Automation Fabric. 

Using NLP, Intelligent Document Extraction (IDE) is an emerging process automation trend in transformation efforts. 

The webinar will also discuss some of the most common cases for IDE, such as customer service, supply chain, and finance & accounting.

Path to Process Transformation: How Intelligent Document Extraction Fits In (EU)

Alvaro Ruiz, former Global CIO at Santander and Global CTO at BBVA, talked in the ISG Digital Business Summit about the most critical factors to address when embarking on the technology transparency mission:
• Find your way to customer expectations, business operations, and the technology supporting them.
• Meet your goals for reliability, conduct & compliance, and business continuity.
• Develop a business service-based approach in technology and reconnect the business and IT with a single vision.
• Re-engineer key processes and map business services to align with the E2E technical components.

Technology Transparency. The Business-Driven Approach to IT

The Path to Process Transformation: How Intelligent Document Extraction Fits In

The latest in a series of Data Talks, UST IQ's thought leadership discussions on critical issues facing IT organizations.

This session will focus on the realities of scaling-up Data-centric AI.

Joining UST’s Senior Cloud Solutions Architect, Amber King will be Arnab Bose, Chief Scientific Officer at Abzooba, and Sharath Gokula, Director of Data Science & Analytics at Sam’s Club, to discuss this critical topic. 

80% of the time in AI projects is getting the data ready for the algorithms. 

During this thought-provoking discussion, Amber and Arnab will examine and answer some critical questions regarding scaling up Data-centric AI, such as:

• How prevalent is "dirty" data in real-life model building? 
• Why do we need to spend so much time on the data? 
• What data perspectives can you expect from new graduate hires? 
• Can we adopt software development principles for the data madness? 
• Do powerful AI/ML models solve your data problems? 
• Full Stack Data Scientists – are they for real?

Scaling up Data-centric AI: Perception vs. Reality

The latest in a series of Data Talks, UST IQ's thought leadership discussions on IT organizations' critical issues.

This session will focus on the building blocks of a modern data stack.

Joining UST’s Senior Director for Data Platforms, Vasu Ramanujam, to discuss this important subject will be a distinguished group of industry experts:

- Jaigopi Govardhan - Head of Data Engineering at Glassdoor
- Simón Cascante – Data Engineering Manager at Entrata

During this thought provoking discussion, the panel will discuss and answer some important questions regarding today's modern data stacks, such as: 

- What characteristics make up the “modern” in the “modern data stack”?
- What are some of the challenges/bottlenecks you see in today's enterprise's data stack?
- What’s your take on the rise of no-code as a key building block for modern data stack?
- What is the role of data engineers, BI analysts, data analysts, visualization designers in the context of the "modern" stack?
- What use cases are not relevant to fit these building blocks?
- As a data practitioner, what trends are you following and what are you most optimistic about?

Data Talks: Building blocks of a Modern Data Stack from ingestion to insights

The latest in a series of Data Talks, UST IQ's thought leadership discussions on critical issues facing IT organizations.

This session will focus on the topic of enabling real-time transaction and analytics.

Joining UST Head of Data Engineering, Sripathi Jagannathan, to discuss this important subject will be a distinguished group of industry experts::

- Harish Bhatt – Chief Data officer at Early Warning
- Kedar Kyabarsi – Head of Data platforms at Roche

Data Talks: Enabling real-time transaction and analytics

IT operations have seen a huge transformation in recent years. Yet, with added capability comes added complexity, and organically-grown systems become sprawling, siloed, and disparate. 

For example, IT infrastructure becomes decentralized as a result of advances in cloud or edge computing, digital transformation creates further demands on the IT team and, as a result, staff need considerable assistance to manage the behemoth they are left with. 

When applied in the right way, AI has the power to deliver significant business benefits, from triaging inbound alerts, resolving issues by automating the remediating action, and eliminating the time-consuming activities associated with the opening and closing of support tickets, and documenting their resolution. 

Join UST and Amazon's Mario Thomas to discuss your IT Operations challenges, how to power an intelligent enterprise with AI technology, and free up valuable resources to work on more complex problems.

Driving Operational Excellence using the Cloud, AI, and Automation

The latest in a series of Data Talks, UST IQ's thought leadership discussions on critical issues facing IT organizations.

This session will focus on the topic of enabling real-time transactions and analytics.

Joining UST Head of Data Engineering, Sripathi Jagannathan, to discuss this important subject will be a distinguished group of industry experts::

- Harish Bhatt – Chief Data officer at Early Warning
- Kedar Kyabarsi – Head of Data platforms at Roche

Do you also feel concerned about the urgent need for consistency in data, transparency in algorithms, and the prevention of the underlying bias in AI/ML?

Then join us for this live webinar discussion and learn how you can achieve Fairness, Accountability, and Transparency (FAT) in AI Systems.

The following is the agenda of this discussion:
•	What are the different types of bias?
•	How to understand and monitor Data, throughout the AI Life-cycle?
•	How to deal with the trade-off between the accuracy and fairness of Machine Learning Algorithms?
•	How to address Engineering and Organizational challenges and build a culture for trust-worthy AI systems?

Moderator: 
Megan Heath, Commercial Director for UK, UST Global 

Panelists: 
Maor Ivgi, Chief Technology Officer, Stardat
Heather Dawe, UK Head of Data, UST Global 
Adnan Masood, Chief Architect of AI and Machine Learning, UST Global

Algorithmic Bias: How to understand, manage, and mitigate

Data Analysis

Data Architecture

Algorithmic Bias

Algorithms

ML Ops

Machine Learning

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Algorithmic Bias: How to understand, manage, and mitigate

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