Name: Do You Trust Your Machine Learning Outcomes?
Start: 2021-07-27T03:00:00Z
End: 2021-07-27T03:00:34.000Z
Location: BrightTALK
Rating: 5

Precisely is the global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the Fortune 100. Precisely’s data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes. 

Learn more at www.precisely.com

Add context to your business data and proceed from “who” and “what” to “where” and “why.” Context expands your understanding of the places, surroundings, people, and behaviors that impact business activity — giving you a substantially better-informed view of your business.


To get a bigger picture that starts to answer “why,” add context to your understanding of each location or service area.
· What is the neighborhood like – retirees, young families, established professionals?
· How many people live in the area, and what’s their income?
· Are they commuters, or do they work locally?
· What kinds of businesses are within walking distance of yours?
· How close are your competitors?
· Will weather patterns in this area impact business volumes?


Context provides the insight you need to recognize market trends and shifting customer preferences, so you can anticipate future demand and make informed, confident decisions about your business. Ultimately, context is the crucial component that builds data integrity and fuels optimized business processes, product innovation, and more personalized customer experiences.

Drive Better Business Strategy with Fast and Easy Data Enrichment

With the widespread adoption of smart devices and the internet, CSPs now have access to huge amounts of data about their customers and the market, making data the most crucial asset for gaining a competitive advantage in the industry. 
However, data in the telecommunications sector can be complex, large, lack context, and frequently dispersed across multiple systems and locations. Nevertheless, data-driven initiatives can only be successful if the data they rely on is trusted by those who use it. 
Whether you aim to optimize network planning, acquire or retain customers, upgrade infrastructure, or maintain compliance – you need data with maximum accuracy, consistency, and context. Your success or failure will be determined by having trustworthy data. 
 
Join this webinar to discover: 
• The significance of data integrity for accelerating digital transformation in telecommunications 
• The four building blocks of data integrity and their effect on key telecom initiatives 
• How you can get on a path to achieving data integrity

Stay Ahead in a Fierce Telco Landscape with Data Integrity

Trusted analytics and predictive data models require accurate, consistent, and contextual data. The more attributes used to fuel models, the more accurate their results. However, building comprehensive models with trusted data is not easy. Accessing data from multiple disparate sources, making spatial data consumable, and enriching models with reliable third-party data is challenging.

In this webinar you will learn how to:

Organize and manage address data and assign a unique and persistent identifier
Enrich addresses with standard and dynamic attributes from our curated data portfolio
Analyze enriched data to uncover relationships and create dashboard visualizations
Understand high-level solution architecture

Learn How to Turbocharge Your AI/ML Data Workflows with Data Enrichment

Leveraging your business addresses can unlock valuable insight moving you to contextualized knowledge, automation, and better decision-making at all levels. Yet many companies have work to do before they can use their business data to drive better decisions. To make sense of the volumes of business data, addresses provide a consistent and common thread to connect data across business processes.

Using our Geocode API for Snowflake, learn how clients are leveraging advanced analytics and enrichment solutions to:
· Simplify the complexity of location data and transform it into valuable insights
· Enrich data with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies
· Enhance customer-facing and operational tasks to create more meaningful and timely customer interactions
· Add context to business data by linking IDs to pre-processed enrichment datasets for countries around the world, such as points of interest, property details, demographics, boundaries (neighborhoods, postal codes, flood zones), and more

Unlocking the Power of Location Data with Snowflake and Precisely

Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting.

This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.

Master Data Management - Aligning Data, Process and Governance

Trusted analytics and predictive data models require accurate, consistent, and contextual data. The more attributes used to fuel models, the more accurate their results. However, building comprehensive models with trusted data is not easy. Accessing data from multiple disparate sources, making spatial data consumable, and enriching models with reliable third-party data is challenging.


In this webinar you will learn how to:
 - Organize and manage address data and assign a unique and persistent identifier
 - Enrich addresses with standard and dynamic attributes from our curated data portfolio
 - Analyze enriched data to uncover relationships and create dashboard visualizations
 - Understand high-level solution architecture

Online shopping is used today more than ever before, and due to the COVID pandemic, this shift has happened across all consumer profiles. For an ecommerce site to be successful, recurring business and shopping should be quick and simple for the user and providing an easy user interface to is key to completed sales. Capturing accurate addresses is fundamental to any online business, but it is hard to do it accurately.
 
Join this webinar to learn:
     How to increase conversion with faster, easier checkout - dramatically reduce the number of keystrokes needed to accurately fill out an address — especially on small mobile devices.
     What key factors to consider when looking to incorporate address autocompletion into your retail search or check out process.
     What solutions are available that meet your project, business, and budget requirements.

Boost Ecommerce Checkout and Retail Search with Address Autocomplete

Location intelligence can add critical context to your data science projects and lead to better business decisions. 

Organizations in numerous industries including retail, real estate, insurance, construction, telecommunications, and government can reduce risks and speed responses to situations with superior location intelligence. 

Unfortunately, many organizations are unable to leverage precise, location-aware information because data is too hard to access, process, and interpret. As organizations expand globally and confront complex addresses and related data, they struggle even more.

Join this webinar with TDWI's Senior Director of Research for BI and Tim McKenzie, Business Solution Architect - Cloud Solutions at Precisely. 

David and Tim will discuss how trends such as cloud-native technologies and the use of prebuilt location data sets can power data science and give decision-makers important perspectives on risk, property decisions, situation response, and more:

- TDWI perspectives on location intelligence and address-based spatial data science
- The value of big data and cloud-native technologies for adding valuable context to business addresses
- How to use high-precision location data to estimate risk
- Guidance for leveraging location to extract actionable insights in data science projects and sharing results visually throughout your organization
- How you can simplify and accelerate location-aware data science processes.

Power Decision Making at Scale with Address-Based Spatial Data Science

Data powers all analytics today—driving industry workflows from customer and market intelligence to property underwriting, risk management, and resource allocation. Internal structured data alone is not sufficient—it is imperative to enrich your data.

Data enrichment helps leaders make intelligent decisions with contextual information to help extract deeper business insights. Most importantly, data enrichment can help better utilize existing tools and resources to gain competitive advantages through confident decision-making.

Understanding your data in the context of location opens the door to more intelligent business decisions. Organizations can gain powerful new insights from curated data sets, adding value by linking business data records to real-life locations.

Join this webinar for presentations and a roundtable discussion about how to realize the value of incorporating data enrichment into current business processes for better-informed, data-driven decisions.

Join us to learn:
 - Data enrichment practices for driving better decisions in location intelligence and data.
 - Leveraging trusted attributes to inform machine learning and other analytics models
 - How to easily incorporate accurate, complete, and current data into business processes

Accelerate Confident Decision-Making with Data Enrichment

Your organization has access to more data than ever. You’ve been collecting, saving, and analyzing this data to use for everything from more accurate analytics and business reporting, to protecting your company from fraud.

Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.

In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.

How to Build Data Governance Programs That Last

Data-derived insight powers business decisions today. But internal data alone is rarely sufficient; enrichment of data is increasingly important. Data enrichment gives deep insights into consumers, businesses, places, and risks. Adding this context to existing data – right within business workflows – drives better decisions around customer and market intelligence, resource allocation, site selection, risk management, property underwriting, and more.
Join us for this webinar to discover new data trends from the latest 451 Research studies. We will explore the role Precisely’s trusted global geo addressing and data enrichment can play in empowering data science, capturing new business opportunities, and optimizing decision making.
During this webinar, you will learn:
     - Key market trends shaping business motivation for data unification and enrichment 
     - How to leverage geo addressing, which combines accurate address and rooftop-level geolocation data with detailed attributions, across multiple use cases for telco, proptech and insurance companies
     - How to eliminate guesswork and streamline big data processing with a unique, persistent identifier for better property matches and simplified context enrichment
     - How to quickly and easily acquire hyper-accurate, complete, and current enrichment data and incorporate it into business processes and data science workflows

Data Enrichment Today: Empowering Business with Accurate Global Context

Accurate and robust address data is essential to effectively doing business. However, across the board, companies are challenged with finding an effective strategy for organizing and consistently cleansing, connecting, and enriching their data.

As a result, companies are experiencing a wide variety of challenges including:
 -Lack of reliable, robust 3rd party data
 -Inability to capture and understand rapid changes in properties, businesses, and geo characteristics
 -De-centralized and multiple repositories of data
 -Complex properties can often have multiple valid addresses
 -Challenges to accurately understand, define, and record the details of each building including size, nature, location, and history.

In this virtual event, you will see how our clients are leveraging our Big Data Geocoding and Enrichment solutions to:
 -Improve the reliability of property valuation via massive location enrichment for every US property
 - Creating automation and consistency throughout the life of a property transaction
 - Better predict housing and office lease changes in the future
 - Increase accuracy of comps and create amenity scores
 - Help consumers make educated decisions with accurate data

The Honeycomb Effect: A Cloud Native Approach to Connecting and Enriching Data

Do you know how your specific policy locations will be affected by a wildfire event? Are you able to operationalize historic and current wildfire data to answer these questions? Understanding how your policies may be affected due to wildfire activity can help you quickly review and price new policies while ensuring that exposure is adequately covered.

The PreciselyID, Spectrum Global Geocoding, and Wildfire Risk provide access to industry-leading precision for home and commercial address locations when reviewing historical and real-time wildfire events.

Join this webinar to learn how to mitigate costs and streamline business processes – in underwriting, risk selection, and claims processing.

Understand Wildfire Risk in Underwriting, Pricing, and Claims Processing

From artificial intelligence and machine learning to business and IT – the data revolution is moving at an unprecedented pace. As organizations clamor to keep up, it’s universally understood that data insights are necessary for survival. Yet, it’s not always as clear that data scientists are the real heroes behind the scenes; uncovering the hidden answers in the data that inform strategic decisions and reveal opportunities.

Join this on-demand webinar for a discussion with data science and analytics experts. Together we’ll talk openly about data science, tackling everything from where and how data science is being used and emerging use cases, to some of the more challenging topics like where it’s misunderstood and how to communicate your value as a data scientist at every level of the organization.

The Rise of the Data Scientist

Trusted decisions are powered by trusted data. If your business embraces a data-driven culture, then every decision you make is guided by data. Your success or failure will be determined by having data you can trust.

Explore steps you can take to support better, faster decisions with insights from this expert panel. We discuss:
• Why accuracy, consistency and context are essential for data integrity
• Best practices in breaking down data silos and ensuring data quality
• How to visualize trends, relationships, and patterns in your data
• How location intelligence and enrichment can make data more valuable and complete

Your Data Sucks! Top Strategies for Building Trust in Data in 2022 & Beyond

With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions?

View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including:

- Poor data quality
- Data silos
- Lack of context that enriches the understanding of your data

Do You Trust Your Machine Learning Outcomes?

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Do You Trust Your Machine Learning Outcomes?

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