Rocket-Powered Data Science

JULY 6, 2021

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? TAM management, like content management, begins with business strategy. The content strategy should emulate a digital library strategy.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Analytics Vidhya

MARCH 11, 2023

To succeed, businesses need to harness the power of Machine learning, Data Science, Deep Learning, and Artificial Intelligence to create marketing strategies that are targeted, efficient, and effective to capture the target audience. appeared first on Analytics Vidhya.

Marketing 270

Marketing Strategy Deep Learning Machine Learning 270

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Analytics Vidhya

SEPTEMBER 11, 2023

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

Optimization 353

Optimization Strategy Data-driven Interactive 353

CIO Business Intelligence

DECEMBER 3, 2024

But it’s important to understand that AI is an extremely broad field and to expect non-experts to be able to assist in machine learning, computer vision, and ethical considerations simultaneously is just ridiculous.” “A certain level of understanding when it comes to AI is required, especially amongst the executive teams,” he says.

Strategy 132

Strategy Digital Transformation Machine Learning Consulting 132

Analytics Vidhya

JANUARY 29, 2024

This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya. But our datasets are becoming more complicated. That’s where data augmentation steps in.

Deep Learning 319

Deep Learning Strategy Modeling Analytics 319

Analytics Vidhya

DECEMBER 13, 2023

This algorithm effectively […] The post Decoding vLLM: Strategies for Supercharging Your Language Model Inferences appeared first on Analytics Vidhya. However, deploying these models in production can be challenging due to their high memory consumption and computational cost.

Strategy 318

Strategy Modeling Interactive Analytics 318

Analytics Vidhya

SEPTEMBER 5, 2024

Introducing Multimodal RAG, text and image, documents and more, to give a […] The post Understanding Multimodal RAG: Benefits and Implementation Strategies appeared first on Analytics Vidhya. However, what if one could go a little further more than the other in that sense?

Strategy 271

Strategy Analytics Machine Learning Modeling 271

CIO Business Intelligence

NOVEMBER 4, 2024

My involvement in fine-tuning and tweaking our AI models frequently helps yield more precise predictions and thus improves our overall business strategies,” Bacher said. Lazarev agrees: “It’s one thing to have the technology, but it’s another to weave it into the fabric of your business strategy.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

CIO Business Intelligence

JANUARY 14, 2025

Current strategies to address the IT skills gap Rather than relying solely on hiring external experts, many IT organizations are investing in their existing workforce and exploring innovative tools to empower their non-technical staff. Using this strategy, LOB staff can quickly create solutions tailored to the companys specific needs.

Strategy 124

Strategy IT Marketing Technology 124

Analytics Vidhya

SEPTEMBER 7, 2023

Introduction In the dynamic world of machine learning, one constant challenge is harnessing the full potential of limited labeled data. Enter the realm of semi-supervised learning—an ingenious approach that harmonizes a small batch of labeled data with a trove of unlabeled data.

Modeling 343

Modeling Machine Learning Strategy Analytics 343

Analytics Vidhya

JULY 3, 2024

Introduction In the evolving field of machine learning, generating accurate responses with minimal data is crucial. One-shot prompting is a powerful strategy that enables AI models to perform specific tasks by providing just a single example or template.

Machine Learning 304

Machine Learning Strategy Modeling Analytics 304

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. It’s impossible,” says Shadi Shahin, Vice President of Product Strategy at SAS. If the data volume is insufficient, it’s impossible to build robust ML algorithms.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

Analytics Vidhya

JULY 5, 2024

Introduction In machine learning, generating correct responses with minimum facts is essential. Few-shot prompting is an effective strategy that allows AI models to perform specific jobs by presenting only a few examples or templates.

Machine Learning 287

Machine Learning Strategy Modeling Analytics 287

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

Analytics Vidhya

MARCH 31, 2021

The post Customer Profiling and Segmentation – An Analytical Approach To Business Strategy In Retail Banking appeared first on Analytics Vidhya. ArticleVideo Book Overview The main purpose behind this study was to analyze the problems faced by big retail banks during business expansion.

Strategy 271

Strategy Analytics Machine Learning 271

Analytics Vidhya

JUNE 28, 2024

Introduction In the rapidly evolving landscape of machine learning, the potential to generate responses and perform obligations with minimal records has become increasingly important. These strategies have opened new opportunities, […] The post What is Zero Shot Prompting?

Machine Learning 304

Machine Learning Strategy Analytics 304

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Analytics Vidhya

JANUARY 3, 2024

Introduction Python is a versatile and powerful programming language widely used for various applications, from web development to data analysis and machine learning. However, one common concern among Python developers is the performance of their code.

Optimization 305

Optimization Machine Learning Strategy Analytics 305

Rocket-Powered Data Science

MARCH 19, 2021

One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

JUNE 10, 2024

Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. Staffing strategies emerge Despite the continuously tight labor market and complexity of the task, Napoli believes he has Guardian Life’s AI talent strategy under control.

Strategy 136

Strategy IT Machine Learning Consulting 136

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

datapine

MAY 14, 2019

Best for: Those looking for a practical means of understanding how artificial intelligence serves to enhance data science and use this knowledge to improve their data analytics strategies. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. And the goodness doesn’t stop there.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

SEPTEMBER 26, 2023

Monterrey region to provide Telmex value-added services The new region in Mexico, in Monterrey, is part of Oracle’s distributed cloud strategy, under which the company provides a managed open source database service available across multiple clouds for transaction processing, analytics , and machine learning workloads.

Strategy 144

Strategy Data Processing Data-driven Machine Learning 144

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

O'Reilly on Data

JANUARY 11, 2022

We’ll see new tools and platforms for dealing with supply chain and logistics issues, and they’ll likely make use of machine learning. But they’ll almost certainly involve collaboration between humans and intelligent machines. Supply chains and business logistics will remain under stress.

Experimentation 360

Experimentation Modeling Strategy Machine Learning 360

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds. s IT strategy but in a more opportunistic way.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. But the CIO had several key objectives to meet before launching the transformation.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

NOVEMBER 27, 2024

To meet current and future requirements, enterprises must implement robust compliance frameworks that include real-time monitoring and proactive reporting mechanisms And business leaders know the risk of ineffective data governance strategies.

Data Governance 132

Data Governance Risk Insurance Metadata 132

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

SEPTEMBER 26, 2024

Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. For many of you, this is the white-knuckle time; the wrong decision can set your GenAI strategy back months. To that end, you IT leaders are grappling with some critical questions as they pursue GenAI application development.

Strategy 140

Strategy Modeling Consulting Sales 140

CIO Business Intelligence

MAY 15, 2024

A recent PagerDuty survey also found that 71% of businesses are looking to expand investments in AI and machine learning (ML) in the next year. What does a good GenAI strategy look like? According to Forrester , investment in AI software will grow 50% faster than the wider software market.

Strategy 119

Strategy Risk Machine Learning Software 119

Analytics Vidhya

OCTOBER 17, 2023

Introduction Algorithmic trading is a widely adopted trading strategy that has revolutionized the way people trade stocks. More and more people are making money on the side by investing in stocks and automating their trading strategies.

Strategy 343

Strategy Analytics Finance Machine Learning 343

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. But the CIO had several key objectives to meet before launching the transformation.

IT 105

IT Insurance Consulting Risk 105