Smart Data Collective

SEPTEMBER 9, 2019

Artificial intelligence is upending the financial management industry in spectacular ways. The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. Will deep learning and AI finally make technical analysis a mainstream financial management strategy?

Deep Learning 92

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 92

insideBIGDATA

JULY 10, 2024

In this contributed article, Artyom Keydunov, co-founder and CEO of Cube, believes that although business intelligence (BI) solutions have gone a long way to make more data available to non-technical users, challenges remain.

Analytics 244

Analytics Analytics Business Intelligence Business Intelligence 244

Data Science Blog

NOVEMBER 14, 2022

One example is the use of Deep Learning (as part of Artificial Intelligence) for image object detection. Interested in introducing AI / Deep Learning to your organization? DATANOMIQ is the independent consulting and service partner for business intelligence, process mining and data science.

Deep Learning 130

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 130

Data Science Blog

MARCH 14, 2023

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. ” 1 und galt als nur schwer und teuer zu verarbeiten.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Data Science Dojo

MAY 18, 2023

Vector Similarity Search: With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale. 6. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

Data Science 195

Data Science AI AI SQL 195

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. Data Analyst.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Manual analysis simply cannot keep pace with the speed of business. The Need for AI-Powered Business Intelligence To gain a competitive edge, organizations need to move beyond consolidated data and manual analysis.

Business Intelligence 52

Business Intelligence Business Intelligence AI AI 52

AWS Machine Learning Blog

OCTOBER 16, 2024

It uses deep learning to convert audio to text quickly and accurately. This was a key factor in Intact’s decision, because the company sought a versatile platform capable of adapting to their diverse business needs.

AWS 78

AWS AI AI Machine Learning 78

Dataconomy

MARCH 4, 2025

They’re pivotal in deep learning and are widely applied in image and speech recognition. Origins and growth Data mining originated from the fields of data warehousing and business intelligence. It’s often used in customer behavior studies to track and predict user journeys.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Defined.ai blog

AUGUST 10, 2023

Neural Networks & Deep Learning Inspired by the human brain’s architecture, neural networks are being used to analyze financial data. Deep Learning , a subset of neural networks, processes vast amounts of data and identifies complex patterns, making it ideal for predicting financial trends and detecting anomalies.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Smart Data Collective

SEPTEMBER 16, 2020

Deep Learning, Machine Learning, and Automation. Many business processes are trending towards the utility of the business intelligence sphere, especially where certain predictive analytics tools are concerned. From a predictive analytics standpoint, you can be surer of its utility.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Data Science Blog

MARCH 30, 2023

Diese Anwendungsfälle sind jedoch analytisch recht trivial und bereits mit einfacher BI (Business Intelligence) oder dedizierten Analysen ganz ohne Process Mining bereits viel schneller aufzuspüren. Matching von Zahlungsdaten zur Doppelzahlungserkennung oder die Vorhersage von Prozesszeiten), können mit Machine Learning bzw.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

Data Science Blog

MARCH 19, 2024

Um sich wirklich datengetrieben aufzustellen und das volle Potenzial der eigenen Daten und der Technologien vollumfänglich auszuschöpfen, müssen KI und Data Analytics sowie Business Intelligence in Kombination gebracht werden. Espresso AI wurde dafür entwickelt, um genau das zu tun. Und wie sieht die weitere Entwicklung aus?

Data Science 130

Data Science AI AI Business Intelligence 130

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science. So, it looks like magic but it’s not magic.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

Data Science Dojo

JUNE 11, 2024

It can perform certain computations to detect features or business intelligence in the input data. Generative Adversarial Networks (GANs) GANs are a unique class of deep-learning architectures used for generative modeling through unsupervised learning.

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Artificial Intelligence 195

How to Learn Machine Learning

DECEMBER 15, 2024

Deep Learning Specialization Developed by deeplearning.ai and led by Andrew Ng, this comprehensive five-course program is designed to help learners become experts in the most in-demand artificial intelligence technology of our time.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Flipboard

FEBRUARY 27, 2025

You.com launches ARI, a cutting-edge AI research agent that processes over 400 sources in minutesrevolutionizing market research and empowering faster, more accurate business decision-making. Read More

AI 176

AI AI Deep Learning Deep Learning 176

Pickl AI

SEPTEMBER 10, 2024

Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. Introduction The Perceptron is one of the foundational concepts in Artificial Intelligence and Machine Learning.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Towards AI

APRIL 19, 2024

· Code generation · Product development · Graphic design and video creation · Hyper-personalized communication · Streamlined content creation · Automated project management tasks · Enhanced business and employee management · 24/7 inquiry handling · Heightened customer support and service · Fraud detection and risk management · Generating synthetic (..)

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

Pickl AI

JULY 10, 2024

Additionally, both AI and ML require large amounts of data to train and refine their models, and they often use similar tools and techniques, such as neural networks and deep learning. Inspired by the human brain, neural networks are crucial for deep learning, a subset of ML that deals with large, complex datasets.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Topological Deep Learning Made Easy with TopoX with Dr. Mustafa Hajij Slides In these AI slides, Dr. Mustafa Hajij introduced TopoX, a comprehensive Python suite for topological deep learning. The open-source nature of TopoX positions it as a valuable asset for anyone exploring topological deep learning.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

Smart Data Collective

APRIL 25, 2022

AI systems can help with the overall management of your businesses online profiles in that they can: Reduce the risk of human error Help with managing time so your employees’ skills can be used elsewhere Improve the efficiency of your business through the use of business intelligence.

Artificial Intelligence 144

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 144

Data Science Blog

OCTOBER 20, 2024

When it comes to deep learning models, that are often used for more complex problems and sequential data, Long Short-Term Memory (LSTM) networks or Transformers are applied. Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

Analytics Vidhya

OCTOBER 4, 2022

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies.

Artificial Intelligence 268

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 268

ODSC - Open Data Science

MAY 10, 2023

Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication. However, turning to deep learning and unstructured data isn’t the answer to overcoming underperforming AI projects.

Data Scientist 87

Data Scientist Data Science Deep Learning Deep Learning 87

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. Here are some open-source options to consider.

Data Science 93

Data Science SQL Big Data Big Data 93

Smart Data Collective

JULY 8, 2021

And having the ability to learn from past successes and failures, it can improve by the second. What was once considered science-fiction (deep learning, robots, augmented reality, etc.) What’s more, technology is constantly evolving. now has the potential to become the everyday reality of AEC industry professionals.

AI 131

AI AI Artificial Intelligence Artificial Intelligence 131

ODSC - Open Data Science

MAY 4, 2023

Meet StableVicuna, The First Large-Scale Open-Source RLHF Chatbot by Stability AI In a blog post, Stability AI introduced StableVicuna, the first large-scale open-source chatbot trained via reinforcement learning through human feedback or RLHF. There’s less than a week to go until ODSC East 2023. Register by Friday to save 20%.

Deep Learning 52

Deep Learning Deep Learning Azure Artificial Intelligence 52

Dataconomy

FEBRUARY 6, 2024

These companies are using AI and ML to improve existing processes, reduce risks, and predict business performance and industry trends. When it comes to the role of AI in information technology, machine learning, with its deep learning capabilities, is the best use case.

ML 121

ML ML Machine Learning Machine Learning 121

IBM Journey to AI blog

NOVEMBER 14, 2023

Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. But few organizations have made the strategic shift to managing “data as a product.”

AI 126

AI AI Artificial Intelligence Artificial Intelligence 126

Pickl AI

SEPTEMBER 3, 2024

ReLU is widely used in Deep Learning due to its simplicity and effectiveness in mitigating the vanishing gradient problem. Tanh (Hyperbolic Tangent): This function maps input values to a range between -1 and 1, providing a smooth gradient for learning.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. trillion in value.

AI 90

AI AI Machine Learning Machine Learning 90

ODSC - Open Data Science

APRIL 14, 2023

The company’s mission is to make it easier for businesses to transcribe audio and video content from phone calls to webinars to podcasts. The Deepgram platform uses deep learning algorithms to transcribe audio and video content with industry-leading accuracy, making it an ideal choice for businesses that need reliable transcription services.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Science 52

Heartbeat

DECEMBER 5, 2023

The H100 pioneered AI computing with its capability of machine learning and deep learning workloads. The A100 still delivers strong performance on intensive AI tasks and deep learning. Thanks to NVLink interconnect technology, the H100 provides seamless and optimized integration from GPU to GPU.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Arya.ai One of the growing AI companies in India, Arya.ai, deploys Deep Learning solutions for the BFSI sector. Traditional business intelligence processes and dashboards take a long time to improve.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

APRIL 27, 2023

Data Sharing The very necessary and important laws that protect the privacy and security of our data are also what make data sharing for business intelligence difficult for organizations. Below you’ll find just a few of synthetic data’s applications.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Preparation 52