David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

CIO Business Intelligence

SEPTEMBER 29, 2023

Relevant job roles include machine learning engineer, deep learning engineer, AI research scientist, NLP engineer, data scientists and analysts, AI product manager, AI consultant, AI systems architect, AI ethics and compliance analyst, among others.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

O'Reilly on Data

FEBRUARY 11, 2019

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. AI and machine learning in the enterprise. Deep Learning. Graph technologies and analytics.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

OCTOBER 13, 2023

Deep learning engineer Deep learning engineers are responsible for heading up the research, development, and maintenance of the algorithms that inform AI and machine learning systems, tools, and applications.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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 116

Data Science Machine Learning Statistics Business Intelligence 116

CIO Business Intelligence

MARCH 13, 2024

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi. Che cosa posso fare con l’IA?

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

CIO Business Intelligence

AUGUST 3, 2023

This improvement, according to the company, could speed up geospatial analysis by three to four times, and help reduce the amount of data cleaning and labelling required in training a traditional deep learning model. Artificial Intelligence, Deep Learning

Deep Learning 94

Deep Learning Modeling Testing IT 94

CIO Business Intelligence

JUNE 7, 2022

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

AUGUST 4, 2022

For example, many prefer to develop with deep learning frameworks such as PyTorch on a dedicated system, while others schedule their work using Slurm or Kubeflow. A few years ago there was emphasis on deep learning engineers and data scientists as the heroes of the industry,” says Balint. “I

Deep Learning 143

Deep Learning Data Science Enterprise Modeling 143

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Geet our bite-sized free summary and start building your data skills!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. In some business cases, the allocation is also determined by customer preferences. The idea is to align the closest possible fleet for sooner pick & drop.

Software 111

Software Deep Learning B2B Cost-Benefit 111

CIO Business Intelligence

JUNE 1, 2022

These supercomputers power exciting innovations in deep learning, disease control, and physics—think bionic eyes, DNA sequencing for infectious disease research, and the study of time crystals. . CSIRO’s Bracewell Delivers Deep Learning, Bionic Vision. Bracewell’s IO500 score was 99.64, IO500 BW 39.90

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The eight-week fundamentals of data science program teaches students the skills necessary for extracting, analyzing, and processing data using Google Analytics, SQL, Python, Tableau, and machine learning.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

OCTOBER 4, 2023

Forward-looking disruptive technologies Although the brand has various cutting-edge technologies in its hands, one of the most relevant for the future development of the business is AI. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And most importantly, what can this do for your business? Finally, Business Intelligence tools visualize the results to end-users.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

CIO Business Intelligence

AUGUST 1, 2022

To address these challenges, the pharmaceutical firm developed Lilly Translate, a home-grown IT solution that uses natural language processing (NLP) and deep learning to generate content translation via a validated API layer, Coleman says.

Deep Learning 128

Deep Learning Manufacturing Finance Software 128

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

CIO Business Intelligence

DECEMBER 12, 2023

At the core of the Linz AI ecosystem is the Artificial Intelligence Lab at the Linz Institute of Technology (LIT) , where Austrian AI pioneer Sepp Hochreiter and his team conduct research in the field of deep learning, thus facilitating the industrial use of AI. Companies like Dynatrace benefit from this set-up.

Technology 98

Technology Cost-Benefit Deep Learning Measurement 98

CIO Business Intelligence

JANUARY 25, 2024

Understand the technology For companies to maximize the business value of AI , employees must be able to communicate effectively about the technology. That doesn’t mean getting certifications in deep learning or mastering natural language processing. People need to take the enigma out of AI and make it human,” Subbaiah says.

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

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 118

Predictive Analytics Analytics Predictive Modeling Data mining 118

CIO Business Intelligence

OCTOBER 10, 2023

A technology inflection point Generative AI operates on neural networks powered by deep learning systems, just like the brain works. These systems are like the processes of human learning. It inspires awe and unease — and often both at the same time. So, what are its implications for the enterprise and cybersecurity?

Enterprise 124

Enterprise Deep Learning Interactive Software 124

CIO Business Intelligence

JULY 5, 2023

Artificial intelligence and machine learning are the No. Generative AI is raising the interest level even further as organizations begin testing different use cases for deep-learning models. 1 technologies being researched and piloted by IT leaders, according to the 2023 CIO Tech Priorities study.

Machine Learning 98

Machine Learning Deep Learning Consulting Enterprise 98

CIO Business Intelligence

SEPTEMBER 19, 2023

AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 43

Technology Prescriptive Analytics Machine Learning Business Intelligence 43

CIO Business Intelligence

JANUARY 23, 2023

the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing. Others include BERT and PaLM from Google; and MT-NLG, which was co-developed by Microsoft and Nvidia.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

APRIL 17, 2024

In 2018, DeepMind, now a subsidiary of Alphabet, developed AlphaFold, a deep learning system that learns from a database of existing proteins and predicts their 3D structures. The new sequences are then tested at the VTT lab by using E. coli or other bacterial hosts to express the proteins.

Enterprise 128

Enterprise Testing Digital Transformation Software 128

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Just starting out with analytics?

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Perceptual Edge

DECEMBER 27, 2017

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. Deep learning. In this blog, I’ve usually tried to my keep topics at least tangentially related to data sensemaking, but I now find this too confining.

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

CIO Business Intelligence

FEBRUARY 22, 2024

“We also use augmented and virtual reality to train and assist workers, big data to analyze and visualize large volumes of information, machine learning to automate and optimize tasks, and deep learning to extract knowledge from images, texts, sounds and other types of data.”

IT 105

IT Digital Transformation IoT Cost-Benefit 105

CIO Business Intelligence

JUNE 13, 2022

Some conversational AI implementations rely heavily on ML tools that incorporate neural networks and deep learning techniques. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

Data Processing 105

Data Processing Deep Learning Insurance Cost-Benefit 105

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

CIO Business Intelligence

OCTOBER 4, 2023

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Risk 135

CIO Business Intelligence

SEPTEMBER 7, 2022

The third layer, Cropin Intelligence, uses the company’s 22 prebuilt AI and deep-learning models to provide insights about crop detection, crop stage identification, yield estimation, irrigation scheduling, pest and disease prediction, nitrogen uptake, water stress detection, harvest date estimation, and change detection, among others.

B2B 105

B2B Contextual Data IoT Deep Learning 105

TDAN

JUNE 2, 2020

With multiple technologies involved, even deep learning algorithms can’t do the trick. The domain of AI and data science so far has created significant value in the technological landscape. However, the path to reaching success isn’t easy and quick.

Data Science 52

Data Science Deep Learning Technology Business Intelligence 52

CIO Business Intelligence

OCTOBER 10, 2023

Each key area has its own unique aspects, but collectively, we are utilizing our own deep learning models, large language models, NLU, NLP, ASR, and other AI agents.” Logan explained the revised ‘Ellie’ avatar was built on the platform’s avatar creation engine, which was then imported into its real-time animated visual scene engine.

Deep Learning 122

Deep Learning Visualization Interactive Modeling 122

CIO Business Intelligence

JUNE 22, 2022

The key emerging technologies that are making an impact on the business world are. The availability of data has made it possible to gather business intelligence and insights about customers. The difference today is the rapid pace of technological changes brought about by computerization and digitalization. .

Digital Transformation 105

Digital Transformation Visualization Technology Marketing 105