IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. For example, since 2017 Dominos has operated its own app for mobile devices through which customers can quickly order a pizza.

Consulting 88

Consulting Marketing Sales Data Processing 88

Smarten

JANUARY 17, 2019

They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions. Users ask a simple question and get a simple answer.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Cloudera

DECEMBER 19, 2018

The most common big data use case is data warehouse optimization. Despite being a nascent technology, natural language analysis has increased in priority by 23% from 2017 to 2018, according to Dresner’s survey. When dealing with big, fast, and complex data, you need to be able to visualize your analytics and BI in real-time.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

O'Reilly on Data

FEBRUARY 18, 2020

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. Not necessarily: Java-related searches increased by 5% between 2017 and 2018. Coincidence?

Data-driven 335

Data-driven Software Statistics Marketing 335

Jet Global

SEPTEMBER 4, 2020

When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. Data Entities. One very important change had to do with access to the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

OCTOBER 26, 2020

Effective reporting tools enable users to create dynamic designs, incorporating visualizations and allowing report recipients to easily spot trends and anomalies. The most effective tools allow users to customize reports for visual appeal and change the layout to present information in a meaningful way.

Reporting 52

Reporting Optimization Sales Visualization 52

Smarten

JULY 26, 2018

Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. What is Smart Data Visualization? Smart Visualization tools allow users to gather various data components and tell a story. Can Smart Data Visualization Make Business Users Smarter?

Visualization 40

Visualization IT Interactive Business Intelligence 40

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. billion in 2017 to $190.61 Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MARCH 16, 2021

Lately, however, there is very exciting research emerging around building concepts from first principles with the goal of optimizing the higher layers to be human-readable. Instead of optimizing for pure accuracy, the network is constructed in a way that focuses on strong definitions of high-level concepts. Image source: [link].

Modeling 122

Modeling Deep Learning Testing Optimization 122

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. Optimize raw data using materialized views. In-Warehouse Data Prep delivers builders advanced functionality to rapidly transform and optimize raw data using materialized views on cloud data warehouses.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Smarten

JANUARY 7, 2020

The combination of a fast-paced business environment and a limited budget and limited resource reality means that most organizations must optimize resources and time to produce results. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. What is Modern BI?

IT 52

IT Business Intelligence ROI Reporting 52

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of. Pfeifer, J.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Ontotext

OCTOBER 7, 2020

Since its initial release in 2017, it has grown to include and align with a number of existing standards and has benefited from broad finance industry participation. and OWL 2 reasoning in addition to a number of product-specific tools for navigation, visualization, analysis and federation. In its current incarnation, version 9.4.1,

Finance 59

Finance Visualization Modeling Optimization 59

Smarten

SEPTEMBER 6, 2019

SSDP allows average business users to compile and prepare data and use that data in analytics to test hypotheses, visualize and share data, prepare reports and support day-to-day tasks with complete drill-down and drill-through capability, custom alerts and mobile access that supports the needs of every team member.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

The Unofficial Google Data Science Blog

JULY 11, 2017

Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017). Also notice that while the state in this model is Markov (i.e.

Forecasting 64

Forecasting Statistics Modeling Software 64

Business Over Broadway

DECEMBER 20, 2018

Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Data Science/Analytics Tools, Technologies and Languages used in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. layer-wise relevance propagation), model distillation (e.g.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Sisense

FEBRUARY 6, 2020

In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. In recent years, powerful BI tools that help analyze and visualize data, and allow you to collaborate in the Cloud using your data across a wide array of sources. We’re evangelists.

Visualization 97

Visualization Internet of Things Data Analytics Analytics 97

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

APRIL 12, 2022

It will add it to its Spot by NetApp portfolio, the collection of SaaS tools built around the cloud management and cost optimization company it bought in 2022. Microsoft buys Minit to optimize process automation. NTT Data adds Vectorform to service portfolio. Celonis buys Process Analytics Factory. Tableau buys Narrative Science.

Enterprise 143

Enterprise Technology Consulting Software 143

Occam's Razor

JULY 13, 2017

In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). While I am partial to the simplest of visualizations in a business data context, I love a simple Bar Chart just as much as a Chord or Fisher-Yates Shuffle. 6: Turbocharging Data Visuals with Storytelling.

Visualization 124

Visualization Strategy Interactive Statistics 124

Alation

AUGUST 26, 2021

HBR Review May/June 2017. It relies on data intelligence software to be managed and optimized. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Data Intelligence and Metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. Out[14]: Steve Jobs PERSON?

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110