AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Learn more about the Pentaho Data Science Pack.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

Innovation 84

Innovation Data Machine Learning Artificial Inteligence 84

CIO

AUGUST 20, 2024

The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. This balanced approach will help avoid past mistakes and build a robust foundation for future innovation. Learn more about the Dell AI Factory in this webinar. [1]

Artificial Inteligence 208

Artificial Inteligence Cloud Generative AI Strategy 208

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. Accelerate Collaboration Across The Lifecycle.

Data 111

Data Machine Learning Artificial Inteligence Analytics 111

AWS Machine Learning - AI

AUGUST 5, 2024

About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI. He specializes in generative AI, machine learning, and system design. Please share your feedback to us! Outside of work, she loves traveling, working out, and exploring new things.

Knowledge Base 125

Knowledge Base AWS Generative AI Machine Learning 125

Cloudera

JANUARY 30, 2019

Both at Hortonworks and today at our post-merger Cloudera, we believe in and advocate strongly for the value, power and practical necessity of leveraging open source software for data-driven innovation and differentiation. We’re looking forward to providing the same benefits to HDP customers with CDSW on HDP. Register Now.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Data Open Source 76

CIO

DECEMBER 10, 2024

Their role is crucial in assisting businesses in improving customer experiences and creating new revenue streams through AI-driven innovations. Leveraging AI, machine learning, and natural language processing technologies, we categorize and classify data by type, redundancy, and sensitivity, highlighting potential compliance exposures.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

TechCrunch

DECEMBER 13, 2022

But alongside that, the data is used as the basis of e-learning modules for onboarding, training or professional development — modules created/conceived of either by people in the organization, or by Sana itself. “Sana is used continuously, which is very different from a typical e-learning platform,” he said.

Artificial Inteligence 245

Artificial Inteligence Education Enterprise Artificial Intelligence 245

Cloudera

NOVEMBER 18, 2020

2- Leverage Real-time Data and Machine Learning. Effective fraud prevention requires sophisticated analytical approaches driven by real-time data and Machine Learning. Traditional deterministic rules-based fraud solutions flag known or old/known types of illicit activity. 3- Get a little Help from your Friends.

Artificial Inteligence 105

Artificial Inteligence Strategy Machine Learning Data 105

CIO

JULY 17, 2023

Good Dog Communications in Partnership with Verizon and Edgio recently hosted a webinar, “The Rise of Cloud Exploitation, ” that spoke directly to cyberthreats targeting web apps and security best practices. Modern-day WAAPs utilize machine learning and behavioral and signature fingerprinting for early threat detection.

Cloud 148

Cloud How To Malware Open Source 148

CIO

JULY 19, 2024

Additionally, 46% said they are “not fully equipped to face disruption” especially when it comes to data security and technology innovation. Some of this can be attributed to a growing skills shortage, especially in emerging technologies such as AI, generative AI, NLP, and machine learning.

Strategy 172

Strategy Technical Review Culture Survey 172

AWS Machine Learning - AI

APRIL 23, 2024

Embracing these principles is critical for organizations seeking to use the power of generative AI and drive innovation. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. In her free time, she likes to go for long runs along the beach.

Knowledge Base 126

Knowledge Base Scalability Applications Generative AI 126

AWS Machine Learning - AI

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI. The solution design consists of two parts: data indexing and contextual search.

Serverless 135

Serverless Artificial Inteligence Engineering Generative AI 135

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 82

Machine Learning Artificial Inteligence Data Engineering Engineering 82

AWS Machine Learning - AI

AUGUST 28, 2024

About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI. He specializes in generative AI, machine learning, and system design. Manoj Krishna Mohan is a Machine Learning Engineering at Amazon.

Knowledge Base 95

Knowledge Base AWS Generative AI Machine Learning 95

Cloudera

OCTOBER 30, 2018

Federated Learning is a technology that allows you to build machine learning systems when your datacenter can’t get direct access to model training data. To train a machine learning model you usually need to move all the data to a single machine or, failing that, to a cluster of machines in a data center.

Artificial Inteligence 40

Artificial Inteligence Machine Learning IoT Healthcare 40

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Cloudera received extraordinary interest in CDP from participants, exemplified by the more than 300 questions posed throughout the webinar.

Enterprise 87

Enterprise Cloud Data Machine Learning 87

AWS Machine Learning - AI

JULY 1, 2024

If you’re seeking assistance on how to begin, check out the Generative AI Innovation Center. Mani Khanuja is a Tech Lead – Generative AI Specialists, author of the book Applied Machine Learning and High Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board.

Knowledge Base 126

Knowledge Base Artificial Inteligence Generative AI AWS 126

Cloudera

MAY 4, 2022

When a company embraces an AI-first strategy , it makes a conscious decision to transform itself today and set itself up for ongoing innovation and adaptation in the future. . A transcript from a legal deposition, business meeting, or webinar may have taken days in the past, but with AI now only requires a few seconds.

Artificial Inteligence 130

Artificial Inteligence Off-The-Shelf Systems Review Insurance 130

CIO

OCTOBER 25, 2023

We see that the majority of AI/ML traffic is being driven by manufacturing, which may offer a glimpse into the rapid innovation and transformation driven by Industry 4.0. Want to learn more about how enterprises can better embrace AI and solve its risks? Artificial Intelligence, Machine Learning

Generative AI 200

Generative AI Artificial Inteligence Enterprise ChatGPT 200

Cutter Consortium

AUGUST 5, 2019

Explore the role disruptive technology plays when the innovation process diverges from what companies consider to be good business practices — and from individuals’ comfort zones. Join Cutter Consortium Senior Consultant Katia Passerini on September 18 for her webinar Innovation Models Across Industries: A Linear or Complex Path?

Machine Learning 10

Machine Learning Artificial Inteligence Architecture Innovation 10

OverOps

JANUARY 14, 2020

Plus, with the focus on migrating to.NET Core and continuing to provide innovative features and functionality for their customers, the team wanted to reduce time spent on error resolution. On the one hand, they were struggling with a lack of visibility into their legacy services and why they were failing. What to Expect from OverOps for.NET?

Applications 29

Applications Weak Development Team Linux Windows 29

AWS Machine Learning - AI

JULY 10, 2024

Part — 1 [2] How to Choose the Right Chunking Strategy for Your LLM Application About the authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI. He specializes in Generative AI, Artificial Intelligence, Machine Learning, and System Design.

Knowledge Base 136

Knowledge Base Artificial Inteligence Lambda Applications 136

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Built By Experts At The Leading Edge Of ML innovation. Stay tuned!

Machine Learning 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84

Cloudera

APRIL 27, 2022

Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time. There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .

Windows 99

Windows Data IoT Analytics 99

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Compliance 50

Compliance Innovation Meeting Industry 50

d2iq

JUNE 13, 2022

As our guest speaker, Forrester Research Principal Analyst Lee Sustar explains in a recent webinar entitled “ Three Trends Driving Cloud-Native Adoption ,” cloud-native technology is in a state of rapid and continual change, and organizations must adopt a cloud-native Kubernetes infrastructure that allows for continual change.

Enterprise 81

Enterprise Cloud Artificial Inteligence Open Source 81

Cloudera

MAY 25, 2021

Since that launch, we’ve worked tirelessly to deliver best-in-class data visualization, dashboarding, and predictive applications capabilities across our cloud and on-premises infrastructures through Cloudera’s machine learning and data warehousing products — all without additional costs, moving data or purchasing any third-party tooling.

Data 71

Data Machine Learning Artificial Inteligence Analysis 71

Cutter Consortium

MARCH 13, 2018

A huge amount of innovation is taking place around AI right now. We’re in the midst of conducting a study on AI and machine learning. We’re in the midst of conducting a study on AI and machine learning. More on AI and Machine Learning. And I think they are correct.

Artificial Inteligence 56

Artificial Inteligence Machine Learning Automotive Survey 56

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Netflix, where this innovation was born, is perhaps the best example of a 100 PB scale S3 data lake that needed to be built into a data warehouse.

Data 94

Data Analytics Open Source Architecture 94

Tenable

APRIL 8, 2019

Predictive Prioritization is an innovative process that changes how organizations tackle vulnerability overload, enabling you to zero in on remediating the vulnerabilities that matter most. What are the inputs into the machine learning model for the threat score? Curious how Predictive Prioritization works?

Machine Learning 83

Machine Learning Artificial Inteligence Software Review Technical Review 83

Tenable

AUGUST 2, 2024

outlines AI security challenges If you’re interested in learning more about securing AI systems, you might be interested in reading a new blog from a Carnegie Mellon University professor titled “ Weaknesses and Vulnerabilities in Modern AI: Why Security and Safety Are so Challenging.”

Report 80

Report Weak Development Team Data Artificial Inteligence 80

AWS Machine Learning - AI

OCTOBER 23, 2024

About the Authors Kenton Blacutt is an AI Consultant within the GenAI Innovation Center. She enjoys working closely with others, embracing teamwork and autonomous learning. She likes to develop creative and innovative solutions, applying special emphasis on details.

Lambda 93

Lambda Knowledge Base Generative AI AWS 93

Cloudera

APRIL 21, 2021

You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. We were also missing out on innovation from many major version upgrades in CDP for products we rely on, like HBase and Solr. In this blog, we discuss our journey to CDP for this critical cluster. Our Internal Environment Before Upgrade. before the upgrade.

Cloud 121

Cloud Weak Development Team Development Team Review Software Review 121

Tenable

JUNE 14, 2024

Treasury is seeking a broad range of perspectives on this topic and is particularly interested in understanding how AI innovations can help promote a financial system that delivers inclusive and equitable access to financial services,” reads a Treasury Department statement. Check out the results!

Software Review 79

Software Review Artificial Inteligence Banking Artificial Intelligence 79

Cloudera

FEBRUARY 18, 2021

As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . Check out our webinar with Privitar. . Trend #3: Cloud Considerations.

Insurance 105

Insurance Trends Data Artificial Inteligence 105