Domino Data Lab

JULY 10, 2019

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Smart Data Collective

AUGUST 26, 2021

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

Deep Learning 100

Deep Learning Finance Cost-Benefit Advertising 100

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 92

Deep Learning Forecasting Machine Learning Publishing 92

TDAN

AUGUST 6, 2019

Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.

Deep Learning 81

Deep Learning Technology Data Architecture Metadata 81

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

Rocket-Powered Data Science

JULY 6, 2021

4) AIOps increasingly became a focus in AI strategy conversations. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

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. “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. These improvements are geared toward managing the most intense AI workloads with ease so that enterprises can execute their AI strategies without performance bottlenecks.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

APRIL 27, 2022

On-demand access to deep learning services that allow engineering teams to exploit these new insights and embed them in data-driven outcomes will be critical to cross the data-first divide we see opening across organizations.

Strategy 143

Strategy Data-driven Internet of Things Measurement 143

Occam's Razor

MARCH 30, 2017

My personal strategy: Understand reality. Invest in continuous learning. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Add new/different value. Rinse and repeat.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Deep Learning. Text and Language processing and analysis. Temporal data and time-series. Automation in data science and big data.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

bridgei2i

JANUARY 17, 2021

Case study: Autonomous Underwriting Decisioning Using Deep Learning. Learn how the right AI strategy can take your business to its pinnacle. Business Context. How BRIDGEi2i Delivered Value? The solution helped the enterprise reduce manual effort, streamline existing processes & improve overall underwriting quality.

Deep Learning 52

Deep Learning Insurance Enterprise Strategy 52

Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction There are many tutorials and video lectures on the Web, and other materials discussing the basic principles of building neural networks, their architecture, learning strategies, etc.

Data Science 310

Data Science Publishing Strategy Analytics 310

Analytics Vidhya

MAY 14, 2023

As data scientists and experienced technologists, professionals often seek clarification when tackling machine learning problems and striving to overcome data discrepancies. It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables.

Machine Learning 318

Machine Learning Strategy Modeling Analytics 318

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. Given enough trials and data, Machine Learning techniques are likely to add great value in the forecasting process.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Analytics Vidhya

MARCH 20, 2024

This AI assistant redefines the game’s strategies, particularly in the crucial realm of corner kicks. In the ever-evolving landscape of football tactics, a groundbreaking development emerges from the collaboration between Google DeepMind and Liverpool FC: TacticAI.

Strategy 307

Strategy Analytics Deep Learning Modeling 307

CIO Business Intelligence

JUNE 15, 2022

According to Tortoise, it’s a combination of three factors: the strength of its basic research, in which Québec ranks fifth among the approximately 60 countries reviewed; successful government investment strategies (sixth); and the emergence of a critical mass of companies (seventh). Artificial Intelligence, Deep Learning, IT Leadership

Deep Learning 145

Deep Learning Data-driven Data Science Publishing 145

CIO Business Intelligence

AUGUST 4, 2022

“AI projects are a team sport and should include a multidisciplinary team spanning business analysts, data engineering, data science, application development, and IT operations and security,” according to Moor Insights & Strategy in a September 2021 report titled “Hybrid Cloud is the Right Infrastructure for Scaling Enterprise AI.”.

Deep Learning 143

Deep Learning Data Science Enterprise Modeling 143

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. Deep learning is a subset of AI , and vital to the development of gen AI tools and resources in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Data Science 101

JANUARY 29, 2020

AI and deep learning are at the top. Data Science Success Starts with a Data Strategy. Before you start your next data science project, consider creating a Data Strategy. I have created a Free Data Strategy Email Course. It is a series of emails to get you more prepared to create a data strategy.

Data Science 129

Data Science Data Strategy Deep Learning Strategy 129

Smart Data Collective

AUGUST 6, 2020

Thomas Griffin, the CEO of Optim Monster, points out that savvy marketers use artificial intelligence to enhance the quality of their video marketing strategies to expand their reach and multiply their conversion rates. But how can AI really be incorporated into a video marketing strategy ? Here are a few awesome ideas to consider.

Deep Learning 117

Deep Learning Visualization Data-driven Marketing 117

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. Generative AI has only served to accelerate the options for data product design, lifecycle delivery and operational management.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Rocket-Powered Data Science

JULY 13, 2023

Consequently, the data infrastructure of the organization comes to the forefront of the business conversation, specifically in business data analytics strategy discussions. However, we are not into clear sailing just yet in the sea of data. Conversely, an on-prem approach can be the right answer to those challenges. Source: [link]

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. That’s where remediation strategies come in. We discuss seven remediation strategies below. You’ve even discovered a few problems with your ML model. What can you do?

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

Smart Data Collective

JANUARY 20, 2020

While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level. It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. Brainstorming Ideas.

Deep Learning 128

Deep Learning ROI Data-driven Marketing 128

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. The success of the modern analytics strategy, whether academic, business or industrial, depends on the data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies. People + AI Guidebook” (Google).

Management 363

Management Machine Learning Experimentation Metrics 363

Cloudera

OCTOBER 1, 2022

A rapidly evolving privacy landscape means organizations must weave solutions into business strategy and data architecture, which introduces challenges and disruptions for those businesses operating on a global scale. Most organizations piece together physical locations, hybrid cloud strategies, or a combination of the two as a solution.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

O'Reilly on Data

MARCH 20, 2019

Watermarking is a term borrowed from the deep learning security literature that often refers to putting special pixels into an image to trigger a desired outcome from your model. They could also share their strategy with others, potentially leading to large losses for your company. Watermark attacks.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Smart Data Collective

JUNE 10, 2022

Working as a machine learning scientist, you would research new data approaches and algorithms that can be used in adaptive systems, utilizing supervised, unsupervised, and deep learning methods. Business Intelligence Developer. Enterprise Architect.

Data Science 144

Data Science Machine Learning Statistics Business Intelligence 144

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. As the gen AI hype subsides, Stephenson sees IT leaders reevaluating their strategies in favor of other AI technologies. Wade in carefully,” he says.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JUNE 21, 2022

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Deep learning, together with machine learning, is able to detect cyber threats faster and more efficiently. . New Applications, New Architectures.

Deep Learning 111

Deep Learning Big Data ROI Software 111

Smart Data Collective

JANUARY 14, 2022

A few years ago, a Google study discovered that machine learning-based optical character recognition (OCR) technology could handle 99.8 Deep learning can help accelerate brute force attacks. It’s a very lucrative strategy for cybercriminals, and the ransomware SDKs are loaded with AI technology. Automated Attacks.

Machine Learning 145

Machine Learning Deep Learning Strategy Data-driven 145

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Unfortunately, defense has continued to employ a strategy based mostly on human decision-making and manual responses taken after threat activities have occurred.

Software 145

Software Machine Learning Behavioral Analytics Deep Learning 145

CIO Business Intelligence

AUGUST 13, 2024

Unleashing deep automation: Evolving enterprise intelligence Deep automation transcends traditional automation approaches, offering a holistic, adaptive, and evolutive strategy at the enterprise and ecosystem level. Overcoming obstacles to deep automation deployment Implementing deep automation isn’t without its challenges.

Data-driven 130

Data-driven Metrics Optimization Machine Learning 130

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. First, they might throw up their hands and pursue a non-machine-learned solution (say, some trusty if-statements). Deep learning models are usually composed of several functions, stacked together.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111