IBM Big Data Hub

APRIL 11, 2024

The challenges are motivated by problems encountered by real-world machine learning and blockchain applications. Winners will also be offered the opportunity to present their solutions in a special workshop currently being planned. Various challenges can be seen on the FHERMA site.

Publishing 86

Publishing Machine Learning Technology Modeling 86

CIO Business Intelligence

AUGUST 1, 2022

So, you return to the Gaziantep workshop, where you’re greeted by owner Ahmet Ziylan. That 50-square-meter workshop in Gaziantep has grown into an international retail business, FLO. To meet the challenge, the company took “a leap into the future,” turning to digital transformation and a machine learning (ML) solution.

Machine Learning 96

Machine Learning Digital Transformation Manufacturing Sales 96

IBM Big Data Hub

DECEMBER 14, 2023

Continuous monitoring and learning : Cyber threats evolve rapidly, making it essential for organizations to stay ahead of the curve. IBM emphasizes the importance of continuous monitoring and learning. By continuously learning from past incidents, organizations can strengthen their cyber resiliency posture.

Risk 82

Risk Measurement Business Objectives Optimization 82

AWS Big Data

AUGUST 17, 2023

With the support for 6 TB source data, you can now scale up your log analytics, machine learning applications, and ecommerce data more effectively. Ingesting the data You can use the load generation scripts shared in the following workshop or you can use your own application or data generator to create load.

Cost-Benefit 82

Cost-Benefit Testing Machine Learning Measurement 82

KDnuggets

AUGUST 5, 2019

This workshop, Aug 14 @ 12 PM ET, will give you the proper tools and tactics to manage the entire lifecycle of your machine learning projects, from research to exploration to development and production.

Data Science 84

Data Science Management Machine Learning 84

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

CIO Business Intelligence

JULY 12, 2022

Many are also setting up certification programs to arm their work forces with more of the IT “ technical skills ” that are in high demand – everything from networking to technical support to machine learning to cybersecurity and analytics. Courses and workshops can focus on specific decision-making techniques.

Technology 117

Technology Business Objectives Machine Learning Management 117

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Next steps The next step to build an inventory management and forecasting solution on AWS would be to go through the Inventory Management workshop.

Forecasting 78

Forecasting Management IoT Data-driven 78

DataRobot Blog

OCTOBER 18, 2022

At the conference, I delivered a workshop on anti-money laundering best practices using AI, sparking discussion and inspiration among anti-money laundering experts. Monitoring with Machine Learning. AI leaders at Big Data & AI Toronto explored use cases specific to their industries for inspiration and guidance.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

CIO Business Intelligence

JUNE 12, 2023

It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. The vast majority of companies already have a structure for analytics and machine learning, so we’re already there; it doesn’t add much,” she adds. It’s all called AI, she says. I didn’t think it could be more.

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

Jen Stirrup

NOVEMBER 4, 2019

Some organizations see this as a stepping stone to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs.

Machine Learning 89

Machine Learning Enterprise IT 89

AWS Big Data

JANUARY 31, 2023

We encourage you to check this feature in the Lake Formation workshop Integration with Amazon EMR using Runtime Roles. Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to prepare data for building, training, tuning, and deploying models.

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

Decision Management Solutions

DECEMBER 17, 2020

If you’d like to learn about operationalizing machine learning, we highly recommend our upcoming 2021 Machine Learning Week workshop by James Taylor, CEO. Operationalizing AI: Beyond AI Pilots with Digital Decisioning ”.

Machine Learning 52

Machine Learning Interactive Uncertainty Management 52

DataRobot Blog

NOVEMBER 15, 2022

Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform. A packed keynote session showed how repeatable workflows and flexible technology get more models into production.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

Timo Elliott

FEBRUARY 4, 2019

Working with design expert David Kester , he put together a series of Plastic Challenge workshops bringing together consumers and retail industry experts to think about ways to alleviate the problem. Stephen Jamieson , Head of SAP Leonardo in the UK, saw an opportunity to innovate with purpose. Follow a good design process.

Machine Learning 55

Machine Learning Big Data Testing Technology 55

Data Science 101

JUNE 10, 2019

Data scientists can appear to be wizards who pull out their crystal balls (MacBook Pros), chant a bunch of mumbo-jumbo (machine learning, random forests, deep networks, Bayesian posteriors) and produce amazingly detailed predictions of what the future will hold. How to get a Data Science Job.

Data Science 96

Data Science Statistics Predictive Modeling Machine Learning 96

AWS Big Data

AUGUST 22, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Gain a high-level understanding of AWS Glue and its components by using the following hands-on workshop.

Data Processing 90

Data Processing Testing Data Lake Data Integration 90

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.

Machine Learning 75

Machine Learning Deep Learning Cost-Benefit Forecasting 75

IBM Big Data Hub

APRIL 25, 2024

This transformation involves migrating to cloud-based solutions, adopting emerging technologies like artificial intelligence (AI) and machine learning (ML) , and integrating disparate systems for improved data management and analysis, which enables more informed decision making.

Cost-Benefit 60

Cost-Benefit Finance Optimization Key Performance Indicator 60

Ontotext

AUGUST 3, 2023

It was presented on May 29, 2022 at the ​10th Linked Data in Architecture and Construction Workshop as part of the ESWC22 conference in Hersonissos, Greece and won the LDAC 2022 Best Paper Award ! It does that by identifying inconsistencies between the observed system behavior and the expected behavior described in the ontology.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. However, it is an important tool in the private machine learning toolkit.

Machine Learning 85

Machine Learning Data Lake Reporting Modeling 85

CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand.

IT 136

IT Software Cost-Benefit Strategy 136

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JANUARY 10, 2023

Change programs can spend many weeks conducting interviews and workshops to identify ‘As Is’ pictures. Operationalize Change / Execution Management => Execute on shopfloor level based on facts & figures / using Machine Learning / AI. Picking up the pace: Accelerating the change journey.

Management 52

Management Data-driven Data mining Business Objectives 52

AWS Big Data

JULY 13, 2023

Alongside their partner AWS, they participated in AWS Data-Driven Everything (D2E) workshops and a bespoke AWS Immersion Day workshop that catered to their needs to improve their engagement with their customers. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 92

Optimization B2B Data Quality Sales 92

Cloudera

NOVEMBER 15, 2021

Since learning with labeled data is known as supervised learning, methods that reduce the need for labels have names such as self-supervision, semi-supervision, weak-supervision, non-supervision, incidental-supervision, few-shot learning, and zero-shot learning.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Cloudera

OCTOBER 31, 2023

Our vision is built on two pillars: Build AI with Cloudera, powered by generative AI on AWS: Enable customers to build AI applications rapidly and cost-effectively by building capabilities and integrations between Cloudera Machine Learning and generative AI on AWS.

Machine Learning 98

Machine Learning Cost-Benefit Modeling Interactive 98

CIO Business Intelligence

DECEMBER 13, 2023

In April, the company launched its generative AI education initiative with a global learning day, attended by 14,000 people. It covered the basics of AI and machine learning, generative AI and LLMs. After the training workshop was over, we still put them on retainer so we can reach out to them with real-world projects,” he says.

Enterprise 137

Enterprise Consulting Risk Marketing 137

AWS Big Data

FEBRUARY 20, 2024

In this post, we discuss how to architect a near-real-time analytics solution with AWS managed analytics, AI and machine learning (ML), and database services. With such a solution, businesses can make actionable decisions in near-real time, allowing leaders to change strategic direction as soon as the market changes.

Visualization 104

Visualization Cost-Benefit Optimization B2B 104

AWS Big Data

FEBRUARY 6, 2023

Operationalizing machine learning (ML) is another growing use case, where data has to be transformed and normalized before it can be loaded into an ML model. To run the scripts, refer to the Amazon MWAA analytics workshop. The most common use case for Airflow is ETL (extract, transform, and load).

Management 87

Management Interactive Metadata Publishing 87

CIO Business Intelligence

JUNE 30, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. Artificial Intelligence, Machine Learning, Quantum Computing What does this tell us? Diginomica: [link].

IoT 93

IoT Forecasting Internet of Things Machine Learning 93

CIO Business Intelligence

JULY 5, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. Artificial Intelligence, Machine Learning, Quantum Computing What does this tell us? Diginomica: [link].

IoT 93

IoT Forecasting Internet of Things Machine Learning 93

CIO Business Intelligence

APRIL 24, 2024

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. But the single biggest AI-enabled tool used this year so far is marketing content generation, a gen AI-powered technology used by 58% of the leaders surveyed.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

AWS Big Data

JULY 6, 2023

Step Functions helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Interested in learning more about the services presented in this post? You can find hands-on labs to improve your knowledge with AWS Workshops.

Machine Learning 131

Machine Learning Visualization IoT Digital Transformation 131

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105