CIO

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated.

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CIO

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. Artificial Intelligence, Data Management, Innovation, IT Leadership, Machine Learning

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CIO

SEPTEMBER 8, 2022

The headlines read “Artificial Intelligence (AI) will completely transform your business.” Is AI really a game changer, and does it actually apply to my business? For several decades this has been the story behind Artificial Intelligence and Machine Learning. Artificial Intelligence

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Apps Associates

FEBRUARY 28, 2019

Artificial Intelligence (AI) and Machine Learning (ML) have become popular mainstream topics. This was true for many years but it is beginning … Continue reading "Using Machine Learning in Oracle Analytics Cloud to Predict HR Attrition".

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TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. He believes that bringing them together can lead to greater wisdom and help close the insight gap.

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Existek

NOVEMBER 21, 2023

Analytics has become an integral part of business over the recent years. But how is AI revolutionizing analytics across different domains? Let’s check this article focusing on AI analytics and how to leverage it to your advantage. List of the Content What is AI analytics?

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CIO

FEBRUARY 6, 2023

Other key resources that benefit the customer experience include BI and analytics for anything from actuarial pricing to risk selection and customer intelligence, the CIO says. for instance, uses artificial intelligence to build custom insurance policies and financial services for businesses as well as consumer policies.

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CIO

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.

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Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

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Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. But, there are many players in the data analytics market. Data analytics isn’t about just the technology.

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CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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TechCrunch

MARCH 16, 2021

. “Noogata unlocks the value of data by providing contextual, business-focused blocks that integrate seamlessly into enterprise data environments to generate actionable insights, predictions and recommendations. ” Image Credits: Noogata. We’ve obviously seen a plethora of startups in this space lately.

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TechCrunch

JUNE 10, 2022

In my role advising growth-stage enterprise tech companies as part of B Capital Group’s platform team, I observe similar dynamics across nearly every AI, ML and advanced predictive analytics companies I speak with. Healthy pipeline generation is the bugbear of this industry, yet there is very little content on how to address it.

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KitelyTech

FEBRUARY 4, 2021

The last two decades of technology development has led to several major innovations, including machine learning and data science breakthroughs. As these systems become widely available to the public for use in business, there seems to be some confusion about what both of the systems are. What is Machine Learning?

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Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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Perficient

DECEMBER 13, 2023

Driving Consistency and Efficiency: The core value of a metric store lies in its ability to bring uniformity and efficiency to analytics. This streamlines data processing and fosters real-time analytics, as tools can access data promptly as it becomes available. That’s what a metric store offers.

Metrics 52

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Perficient

JULY 12, 2023

This type of “predictive analytics” typically involves disparate data sources, manual data transformation, and spreadsheet-based calculations. Not an ideal or sustainable approach. Emerging technologies, including Artificial Intelligence and Machine Learning, enable predictive modeling in new and compelling ways.

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CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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Mentormate

NOVEMBER 15, 2021

This acquisition answers the growing demand from the company’s enterprise clients for capabilities such as data architecture, big data processing, performance tuning, business intelligence, machine learning, automation, and SQL development. With the expertise of the Data Cloud Solutions Ltd.

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CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

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Sunflower Lab

APRIL 2, 2024

Power BI, a key business analytics service, leads a revolution in how companies use AI and machine learning to future-proof their operations. However, traditional Business Intelligence (BI) tools can have difficulty handling modern industrial data complexities. This is where Power BI comes in.

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Datavail

MARCH 31, 2022

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

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Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? You’re not alone—and if you’re like many businesses, your IT budget is a major reason why. Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? Analytics compute.

Analytics 52

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CIO

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Business Intelligence

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CIO

SEPTEMBER 18, 2023

The latest piece in her reinvention story is Synchrony’s new Tech Apprenticeship for Artificial Intelligence, a full-time, 12-month program that balances on-the-job learning with instructor-led training, providing Chavarin with a pathway into one of the most coveted technology spaces despite her very nontraditional IT background.

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TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

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CTOvision

FEBRUARY 1, 2017

We track DataRobot in our Disruptive IT Finder (in sections on Artificial Intelligence and Business Intelligence companies), and have always held their capable team in the highest of regards. The press release below gives us reason to hold them in even higher regard: BOSTON , Jan. About DataRobot.

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TechCrunch

MAY 3, 2022

Databases are growing at an exponential rate these days, and so when it comes to real-time data observability, organizations are often fighting a losing battle if they try to run analytics or any observability process in a centralized way. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

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TIBCO - Connected Intelligence

DECEMBER 4, 2020

As such, the following is an index of these rolled up trends as themes which echoed persistently from industry analysts as top analytics trends for 2021. And check out companies that are ahead of the curve in each category and next steps for your business! . Intelligent, adaptable business…. Click To Tweet.

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TIBCO - Connected Intelligence

DECEMBER 22, 2020

More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. .

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Exadel

FEBRUARY 27, 2023

Whether you opt for supervised machine learning algorithms that feed off structured data or deep learning networks that independently parse large volumes of unstructured information (like images, PDF documents, and social media posts) you need lots of data to train algorithms capable of solving your business problems.

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AWS Machine Learning - AI

APRIL 24, 2024

When the training data is ready, further tune the model using reinforcement learning from human feedback (RLHF). RLHF is widely used throughout generative artificial intelligence (AI) and LLM applications. He designs AI/ML and data analytics solutions that overcome complex technical challenges and drive strategic objectives.

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TechCrunch

SEPTEMBER 13, 2021

million in seed funding to further develop its tools for more accurate data and analytics. No API is bringing this data back to brands, so our software helps to automate and track these manual processes so companies can do analytics to see how the promotions are doing,” he added. “It

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TechCrunch

SEPTEMBER 9, 2021

Initially, the company was doing voice assistant technology — think Alexa but powered by humans and machine learning — and then workplace analytics software. The company had completely pivoted and removed ‘Analytics’ from our name because it was not encompassing what we do.”. Productivity startup Time is Ltd.

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Perficient

JUNE 13, 2023

This blog will delve into the ways in which Coveo for Salesforce can optimize sales productivity and revolutionize the sales approach of businesses when it comes to selling their offerings. This collaborative environment promotes continuous learning, fosters innovation, and ultimately improves sales performance.

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Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

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Datavail

JUNE 19, 2019

Business intelligence and analytics may quite possibly be the most complex segment of a company’s IT environment. Your enterprise data is meant to be kept in a living, breathing information store that can meaningfully interface with business users from day to day. What steps can be taken to make that journey?

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