AWS Machine Learning

FEBRUARY 21, 2025

Karam Muppidi is a Senior Engineering Manager at Amazon Retail, where he leads data engineering, infrastructure and analytics for the Worldwide Returns and ReCommerce organization. Previously, Karam developed big-data analytics applications and SOX compliance solutions for Amazons Fintech and Merchant Technologies divisions.

Engineering 118

Engineering APIs Analytics Enterprise 118

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 89

APIs Accountability Scripts Enterprise 89

AWS Machine Learning

NOVEMBER 12, 2024

Bond types**: The list covers a range of bond types, including corporate bonds, government bonds, high-yield bonds, and green bonds. As we can see the data retrieval is more accurate. In entered the Big Data space in 2013 and continues to explore that area. Eurozone, UK), the US, and globally diversified indices.

Engineering 106

Engineering Real estate Government Big data 106

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 122

Government APIs Enterprise Best practices 122

AWS Machine Learning

AUGUST 31, 2023

The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

Government 52

Government Accountability Enterprise Best practices 52

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. Follow a clear plan on governance and decision making. This provides transparency and accountability and empowers a data-driven approach to customer success. Follow a Clear Plan on Governance and Decision making.

Government 103

Government Journey mapping Accountability Benchmark 103

CX Journey

FEBRUARY 27, 2015

Failing to outline a governance structure Without a governance structure in place, we perpetuate silo thinking and fail to achieve cross-functional alignment, involvement, and commitment. Because a governance structure outlines people, roles, and responsibilities when it comes to your customer experience strategy.

Customer Experience 86

Customer Experience Government Journey mapping Customer centricity 86

AWS Machine Learning

JULY 19, 2023

They provide a factsheet of the model that is important for model governance. However, when solving a business problem through a machine learning (ML) model, as customers iterate on the problem, they create multiple versions of the model and they need to operationalize and govern multiple model versions.

Government 96

Government Best practices Metrics Enterprise 96

AWS Machine Learning

JUNE 24, 2022

After the data scientists have proven that ML can solve the business problem and are familiarized with SageMaker experimentation, training, and deployment of models, the next step is to start productionizing the ML solution. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.

Enterprise 116

Enterprise Engineering Accountability APIs 116

ClearAction

JUNE 8, 2015

Account teams, customer service and accounts receivable departments, customer reference managers, market researchers and others throughout the company are a loose confederation of a CX team. Originally published on IBM Big Data & Analytics Hub. Customer Experience Governance: Do This, Not That.

Customer Experience 94

Customer Experience Chief Customer Officer Customer centricity Employee engagement 94

AWS Machine Learning

MAY 8, 2023

It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes.

APIs 90

APIs Government Accountability Scripts 90

AWS Machine Learning

AUGUST 21, 2023

In this post, we show how to use Lake Formation as a central data governance capability and Amazon EMR as a big data query engine to enable access for SageMaker Data Wrangler. Account A is the data lake account that houses all the ML-ready data obtained through extract, transform, and load (ETL) processes.

Engineering 97

Engineering Accountability Big data Sales 97

AWS Machine Learning

JUNE 25, 2024

To replicate the dashboard in your AWS account, follow the contextual conversational assistant instructions to set up the prerequisite example prior to creating the dashboard using the steps below. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera.

Metrics 119

Metrics APIs Government Big data 119

AWS Machine Learning

NOVEMBER 24, 2023

In contrast, the data science and analytics teams already using AWS directly for experimentation needed to also take care of building and operating their AWS infrastructure while ensuring compliance with BMW Group’s internal policies, local laws, and regulations. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

Engineering 94

Engineering Analytics Self service Government 94

ClearAction

MAY 2, 2016

Other marketing maturity models are holistic, it seems, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Accountability = maximize resources. Marketing Maturity Model Litmus Test.

Marketing 62

Marketing Accountability Enterprise Metrics 62

AWS Machine Learning

AUGUST 22, 2023

However, sometimes due to security and privacy regulations within or across organizations, the data is decentralized across multiple accounts or in different Regions and it can’t be centralized into one account or across Regions. Each account or Region has its own training instances.

Scripts 90

Scripts Accountability Transportation Benchmark 90

AWS Machine Learning

NOVEMBER 17, 2022

It’s common demand to have tighter control on who can access the most sensitive data as part of the feature engineering and model building process by following the principal of least privilege access. To achieve this, you can utilize the AWS Glue integration with AWS Lake Formation for increased governance and management of data lake assets.

Engineering 80

Engineering Big data Accountability Government 80

AWS Machine Learning

MARCH 23, 2023

With some customization, you can implement this same encryption process for different model types and frameworks, independent of the training data. If you’d like to learn more about building an ML solution that uses homomorphic encryption, reach out to your AWS account team or partner, Leidos, to learn more.

Scripts 116

Scripts APIs Government Analytics 116

AWS Machine Learning

JUNE 26, 2023

Navigate back to your AWS CDK app home folder and run the following command to verify the generated AWS CloudFormation template: cdk synth Finally, run the following command to run the CloudFormation stack in your AWS account: cdk deploy You should see an AWS CDK deployment output similar to the one in the following screenshot.

Management 90

Management Construction Automotive Engineering 90

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Table formats provide a way to abstract data files as a table. Conclusion.

Scripts 92

Scripts Engineering APIs Big data 92

Cincom

JANUARY 31, 2025

Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences. Creating robust data governance frameworks and employing tools like machine learning, businesses tend derive actionable insights to achieve a competitive edge.

CRM 40

CRM Analytics Automotive Technology 40

AWS Machine Learning

FEBRUARY 29, 2024

Model governance – The Amazon SageMaker Model Registry integration allows for tracking model versions, and therefore promoting them to production with confidence. Prior to this role, Hasan led multiple initiatives to develop novel physics-based and data-driven modeling techniques for top energy companies. Hasan Shojaei , is a Sr.

Scripts 119

Scripts Engineering Metrics Best practices 119

AWS Machine Learning

OCTOBER 27, 2022

With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Ray Wang is a Solutions Architect at AWS.

APIs 98

APIs Best practices Metrics Government 98

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. He is passionate about building governance products in Machine Learning for enterprise customers. Conclusion.

Management 92

Management Government Enterprise APIs 92

ClearAction

MAY 16, 2016

Other marketing maturity models cover the whole enchilada, so to speak, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Accountability = maximize resources. No one is exempt.

Marketing 54

Marketing Customer Experience Enterprise Metrics 54

CSM Magazine

FEBRUARY 9, 2021

The end of the stamp duty holiday and ambitious government targets for building new homes are set to make for an interesting year. Programmed to answer more than 150 queries, residents are able to ask questions from: “How do I set up an account with my energy supplier?” Abbie Heslop at EBI.AI to “Where’s the nearest pizza place?”

Self service 59

Self service Marketing Automotive Transportation 59

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Each tenant in Kubeflow has a unique pre-created service account which we bind to an IAM role created specifically to fulfill the tenant access requirements.

Engineering 94

Engineering Healthcare APIs Scripts 94

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Human oversight : Including human involvement in AI decision-making processes.

Government 97

Government Management APIs Accountability 97

Customer Interactions

JANUARY 30, 2014

I think we’ll see more organizations (particularly in the government/public safety sector) embrace PSIM for this very reason. Big Data and physical security – where hype meets reality. Many firms are latching onto the “Big Data” buzzword so don’t be surprised if you hear a lot more about it in 2014.

Big data 33

Big data Education Analytics Government 33

Amity

JUNE 8, 2016

And yes, most CRM products provide their users with a means to capture activities associated with a sales process, demographic data about the customer, and their purchasing history.

CRM 67

CRM Journey mapping B2C Government 67

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. Software integrations assist on both accounts. Accountability framework. Organization: structure, governance, roles, etc. Operational backbone.

Best practices 62

Best practices Call Center Analytics Technology 62

C3Centricity

SEPTEMBER 24, 2017

For example: Telecoms now make as much money from selling (geo-localisation) data than they ever did from selling phones and lines. Already in 2015 data accounted for 44% of Verizon’s profits, as shown in this Adage article. Don’t you think their business model has changed – dramatically?

Technology 48

Technology Transportation Entertainment Customer centricity 48

Lumoa

OCTOBER 31, 2018

Some hints: big data, omnichannel, personalisation, AI and organizational culture. Many organizations are currently enamoured with the promise of technology and big data. data security, gig economy, AI, machine learning).” With rising customer expectations, good service is no longer good enough.

Customer Experience 60

Customer Experience Customer centricity Education Consulting 60

SmartKarrot

MARCH 3, 2022

In today’s age of big data, no business can dream of being successful without being data-driven. For any business to be successful it has become imperative to be data-driven. These data come from customers, clients, internal processes, and other stakeholders. The responsibilities of a Chief Data Officer includes –.

Chief Customer Officer 10

Chief Customer Officer Government Analytics Big data 10

AWS Machine Learning

JANUARY 26, 2024

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Best practices 137

Best practices Government Engineering Accountability 137

SmartKarrot

APRIL 17, 2023

Measuring the ROI of AI chatbots requires a holistic approach that takes into account both tangible and intangible benefits. Access Controls: Limit access to sensitive data to only those who need it, and implement appropriate access controls to prevent unauthorized access.

Chatbots 10

Chatbots Scripts Enterprise Education 10