Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. With this, we can reduce customer churn and overall network operational costs.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Smart Data Collective

MAY 8, 2022

Business analytics. According to a study, 97% of businesses invest in big data and AI. Above all, there needs to be a set methodology for data mining, collection, and structure within the organization before data is run through a deep learning algorithm or machine learning. Identifying risks.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

FineReport

APRIL 9, 2024

By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends. This resulted in increased profitability and strengthened competitive positioning within the industry.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

FEBRUARY 24, 2021

Trend #1: The Crossroads of Risk Management and Emerging Technology. One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models. Trend #3: Fighting Fraud with Data and Machine Learning.

Risk Management 58

Risk Management Risk Recreation/Entertainment Machine Learning 58

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. PEOPLE FIRST. A new award category for 2021. Read more about last years Data Impact Award winners.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

FineReport

MARCH 24, 2024

Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options. These analysts usually work for consulting firms, but many opt for self-employment.

Statistics 52

Statistics Data mining Visualization Reporting 52

Rocket-Powered Data Science

OCTOBER 16, 2020

” “Businesses face more complex challenges every day and AI technologies have become a mission-critical resource in adapting to, if not overcoming, these types of unforeseen obstacles and staying resilient.”

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

Cloudera

MAY 27, 2021

This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. Sometimes, even if everything is done to deliver ethical outcomes, the machine may still make predictions and assumptions that don’t abide by these rules.

Machine Learning 114

Machine Learning Big Data Consulting Technology 114

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. It’s fast, scalable and increasingly safe for businesses and customers alike. COVID-19 has forced a traditionally risk-averse industry to embrace new ML/AI technology.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

Smart Data Collective

JUNE 8, 2023

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. By tracking exertion levels, coaches can manage training loads effectively, prevent burnout, and reduce the risk of injuries.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

CIO Business Intelligence

MARCH 16, 2022

IT executives see talent shortage as the most significant adoption barrier to 64% of emerging technologies, ahead of implementation cost (29%) or security risk (7%), according to a September 2021 Gartner survey. Identifying which emerging technologies will prove most useful is a challenge, though. Kiran Marri, chief scientist at CSS Corp.,

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

NOVEMBER 16, 2020

And finally, newer technologies (such as Cloudera’s) that facilitate cloud computing, machine learning, and streaming data, enable us to integrate and use structured, unstructured and third-party data to identify and address possible fraud earlier in the attempt, hopefully preventing fraud altogether.

Insurance 97

Insurance ROI Marketing Machine Learning 97

bridgei2i

MARCH 11, 2021

We all know how Artificial Intelligence helps giants like Google and Amazon reshape their commercial techniques and business strategies. From eliminating the need for human assistance in repetitive tasks to reducing the risk of human errors in manual processes – AI can do a lot for large-scale businesses.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

NOVEMBER 24, 2020

This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Insurance 71

Insurance Marketing Risk Finance 71

Smarten

DECEMBER 3, 2023

Now that we have discussed the importance of considering these tools to improve your company results and support your business users, let’s take a closer look at the real benefits of augmented analytics. Every business needs to understand how these solutions can and will affect users, processes and workflow.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. Sisense analytics became a critical tool to enable such a pivot. Using Sisense, Soft Stuff’s leadership quickly identified that something was changing and that it needed to do something drastic to survive as a business. Change is usually gradual.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Cloudera

JANUARY 14, 2021

Predictive analytics allowed the retailer to proactively respond not only to product life cycle impacts, but also the potential risk of cold storage equipment down-time.

Cost-Benefit 69

Cost-Benefit Digital Transformation Sales IoT 69

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs). Pure analytics solutions can boost performance all across that data environment.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

MARCH 22, 2022

Fractal Analytics has appointed Manish Tiwari as its CIO. At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . He will be based in Gurugram. Rossari Biotech appoints Rakesh Dhanda as CIO. Purohit stepped down from the position in June.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

JANUARY 6, 2022

Powered by technologies such as artificial intelligence and machine learning, predictive analytics practices enable businesses to spot trends or potential issues and plan informed strategies in advance. They give you the freedom to easily look up or compare individual values while also displaying grand totals.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. At AWS re:Invent, we announced support for LLMs as preview.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Scoring – i.e. profitability or risk.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Rita Sallam

JULY 22, 2016

The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content? Research VP, Business Analytics and Data Science. Enjoy your summer!! Thanks for reading and stay tuned. Regards, Rita Sallam.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 92

Strategy Data-driven Interactive Digital Transformation 92

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 100

Visualization Dashboards Data-driven Gap analysis 100

Cloudera

NOVEMBER 18, 2020

With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. . Data Champions . Winner: OVO. OVO is the leading digital payment, rewards, and financial services platform in Indonesia.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

Sisense

APRIL 14, 2020

Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. But this was an easy case.

Machine Learning 105

Machine Learning Measurement People Analytics Sales 105

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. However, due to its vast application, predictive analytics should not concern only business professionals.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 115

Data Lake Unstructured Data Data Warehouse Data Quality 115

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

datapine

MAY 17, 2021

Smart Data Discovery Or Augmented Intelligence: Discover The Next Stage In Business Analytics. Augmented Intelligence improves business intelligence by using machine learning algorithms, data alerts , and artificial intelligence capabilities to automatically find trends and likenesses in data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161