Acuvate

FEBRUARY 21, 2022

For the O&G industry, too, the potential benefits of going digital were plenty — cost savings, safer operations, increased productivity, and improved resiliency to weather the unpredictability and remain competitive amidst rising demand for alternative, environmentally-friendly energy sources.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 40

Big Data Data Strategy Strategy 40

Acuvate

APRIL 3, 2022

Currently heading the AI and Automation practice area at Acuvate, he is creating new age solution offerings that focus on providing enhanced customer experience and engagement using emerging technologies like AI, Automation, Chatbots, Natural Language Processing (NLP), and Machine Learning (ML).

Artificial Inteligence 52

Artificial Inteligence Change Analysis Data 52

Leveraging Networks

MARCH 12, 2019

Introducing combinations of intelligent technologies, services and industry expertise makes it possible to unlock product and service innovation. This is done through the incorporation of various intelligent technologies into a business’s overall approach. This can involve anything from vehicles to machines or even home appliances.

Artificial Inteligence 40

Artificial Inteligence Internet of things Technology Big Data 40

Acuvate

JUNE 22, 2022

The advent of conversational AI and NLP in the form of chat and voice bots has empowered banks to mimic the branch experience at scale with the ability to converse in the customer’s preferred language. Chat and voice-enabled bots can also offer intelligent savings and investment advice armored with customer data.

Industry 52

Industry Artificial Inteligence Agile System 52

Acuvate

JUNE 28, 2019

Although the concept of cloud technology isn’t new, it’s quickly become a valuable tool for organizations of all sizes in every industry, with data pointing to business efficiencies, cost benefits, and competitive advantage. . 2 Artificial Intelligence (AI). A great example of IoT use is in the airport industry.

Technology 89

Technology Artificial Inteligence Big Data Data 89

mjvinnovation

JULY 13, 2021

It’s not about analyzing a large amount of data; it’s about doing advanced analytics for the right KPIs. A situation is ambiguous, for example, when information is incomplete, contradictory, or too imprecise to draw clear conclusions. -> Insert form. What is BANI?

Change 105

Change Company Artificial Inteligence Big Data 105

hackerearth

MARCH 5, 2019

The Industrial IoT (IIoT), also known as the industrial internet or industrie 4.0 , employs big data technologies and machine learning to exploit machine-to-machine (M2M) communication, sensor data, and automation technologies that are already in place. Industrial IoT. Smart Grids.

Internet of things 110

Internet of things Artificial Inteligence Technical Review Data 110

Acuvate

FEBRUARY 24, 2019

The modern CIO is tasked with creating business value with technology, developing innovative solutions, driving implementation of new and emerging technologies, adopting AI, taking on cloud transitioning for the enterprise, addressing big-data challenges, and more. and competitiveness. Consider IT Helpdesk bots as an example.

Technical Review 72

Technical Review Artificial Inteligence Data Big Data 72

eZassi

AUGUST 29, 2023

With Innovation Management In today’s rapidly evolving business landscape, staying ahead of the competition requires embracing Industry 4.0 It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain.

Industry 52

Industry Software Review Technical Review Software 52

mjvinnovation

OCTOBER 18, 2019

A Data Science strategy aims to mine large amounts of structured and unstructured data to, among other things, identify patterns to help organizations control costs, increase efficiency, recognize new market opportunities, and increase competitive advantage. The Influence of Data Science. Risk and Fraud Mitigation.

Data 40

Data Artificial Inteligence Big Data Internet of things 40

mjvinnovation

JUNE 25, 2019

Nowadays, a company that has already taken on digital transformation as a strategy manages to understand and analyze market trends with the help of Big Data services and tools. . Take, for example, customer buying patterns. Big data is the perfect tool to get a view of your customers. Seek expert help.

Data 40

Data Company Artificial Inteligence Big Data 40

Tullio Siragusa

JULY 25, 2022

For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. No matter what your path is, it’s important to stay up to date on the latest trends and technologies to stay ahead of the competition.

Data 118

Data Creativity Technical Review Innovation 118

Acuvate

MARCH 12, 2019

We currently live in an era where data is the oil that drives businesses of all sizes. Having data insights gives organizations a competitive edge and helps make well-informed decisions. Businesses today aggregate large sums of data involving customer profiles, sales and marketing statistics, financial metrics etc.

Culture 76

Culture Artificial Inteligence Data Big Data 76

mjvinnovation

DECEMBER 13, 2019

The introduction of digital technology in place of paper records, for example, is a game-changer in the daily lives of professionals in the area. Regarding public health, data recorded in the systems allows researchers to access statistics that are entered in real-time. Artificial Intelligence is pointing to the future.

Artificial Inteligence 40

Artificial Inteligence Marketing Data Trends 40

mjvinnovation

MAY 6, 2019

So there is a real rush in the IT industry to develop methods and tools that can turn that sea of data into useful insights. It is in this new scenario that the concepts of Big Data, Analytics, Internet of Things, etc. Artificial Intelligence is the new normal. have appeared. Deeper statistical analysis.

Company 40

Company Artificial Inteligence How To Analysis 40

mjvinnovation

APRIL 29, 2019

In this context, access to open APIs permits the sharing of data between different insurers, startups, banks, InsurTechs (insurance startups based on technology, inspired by the Fintech model) and other organizations. APIs are considered the key to the process of Digital Transformation in banks, for example. An example?

Artificial Inteligence 40

Artificial Inteligence Open Innovation Data Analysis 40

Paul Hobcraft

SEPTEMBER 27, 2017

Yet, lying within the walls of these large Pharmaceutical and Chemical companies is such a rich dataset that stays behind their ‘closed’ walls. Plastics, Polymers for example, as well as Medications all need growing customer credentials by giving a greater clarity on explaining their effects on society and the individual.

Collaboration 138

Collaboration Artificial Inteligence Technical Review Industry 138

Gregg Fraley

AUGUST 1, 2018

For example, Blockchain is typically thought of as a database technology, so the obvious applications are where databases are used now, like customer information, order entry, or patient medical records. Seeking combinations and applications where other aren’t looking is how competitive advantage is created. Data Analytics.

Technology 50

Technology Internet of things Ideation Artificial Inteligence 50

mjvinnovation

MAY 8, 2019

includes many physical and digital technologies – from Artificial Intelligence to cognitive applications through the Internet of Things and Big Data – allowing the emergence of interconnected digital organizations, as well as a high degree of modernization of manufacturing parks, among other results.

Industry 40

Industry Big Data Technical Review Internet of things 40

Daniel Burrus

DECEMBER 13, 2016

Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. Advances in Machine Learning and AI, such as IBM’s Watson, coupled with networked intelligent sensors, will create a giant leap forward thanks to exponential advances in computing power, digital storage, and bandwidth.

Trends 0

Trends Technical Review Artificial Inteligence Software Review 0

Board of Innovation

JUNE 5, 2022

What if artificial intelligence was dealing with new customers and claims? find new ideas and examples to disrupt your industry. The manufacturing industry is becoming increasingly capable of creating small batches (or even single units) of personalized products at very competitive prices. Let's talk "What if.?":

Artificial Inteligence 52

Artificial Inteligence Data Examples Trends 52

Acuvate

JANUARY 16, 2019

This causes a substantial increase in the complexity and diversity of data you may have to accumulate and analyse. Engineering of this data is the key to opening doors to invaluable insights about the purchase behaviour of your customer. Using Big Data to personalize in-store Experience.

Industry 90

Industry Software Review Technical Review Data 90

Innovation 360 Group

SEPTEMBER 17, 2019

Global manufacturing executives rank “skilled talent” as their #1 competitive differentiator. As the manufacturing sector speeds into a world of futuristic tech and disruptive business models, creativity and innovation are becoming critical skills for figuring out how to unlock value strategically. scoring 2.58

Leadership 40

Leadership Artificial Inteligence Technology Culture 40

Linda Bernardi

JULY 24, 2017

Mega Data 2. Culture of Agility There has never been a more exciting time for artificial intelligence in enterprises. We are past Big Data (which occurred with the advent of mobile, apps and social media), and are in the Hyper-Data stage. It will require AI and machine learning (ML).

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

Daniel Burrus

AUGUST 1, 2018

Examples of final products today include jewelry, iPhone cases, shoes, car dashboards, parts for jet engines, prosthetic limbs, and much more. In just a few years, there will be well over a billion machines talking to each other, and people will install them.

Technology 47

Technology Artificial Inteligence Trends Roadmap 47

mjvinnovation

APRIL 25, 2019

The growth of Fintechs – startups that provide financial services using software and other modern technology resources – is an example. The strength of this wave lies in the use of emerging technologies such as Big Data and Artificial Intelligence to optimize the consumer experience and fill gaps in the financial system.

Artificial Inteligence 40

Artificial Inteligence Data Strategy Strategy 40

mjvinnovation

MAY 13, 2019

Today, with the help of crowd funding, for example, you can get funding for projects that are still on paper – which goes beyond getting money; it gives you the chance to test ideas while they have not even been transformed into prototypes, and allow you to fail fast to correct in a timely manner.

Technical Review 45

Technical Review Technology Artificial Inteligence Collaboration 45

Daniel Burrus

MARCH 23, 2017

In a way, the exponential growth of machine-to-machine communications and connected sensors, what we call Internet of Things (IoT), is rapidly becoming an example of too much of a good thing. Fortunately, edge computing can help make that wealth of data a good deal more usable. The post Data Gathers in a Cloud.

Data 94

Data Analysis Artificial Inteligence Internet of things 94

ITONICS

MAY 4, 2017

If you constantly feed that funnel, you will never be out of new products and services and you will always be ahead of competition. Sensors, Virtual Reality, Machine Learning and Big Data, Digital Health or the Internet of Things and many other technologies will change the world in the upcoming decades.

Trends 51

Trends Technology Ideation Internet of things 51

Acuvate

NOVEMBER 22, 2019

But unlike oil, extracting, maneuvering, filtering, refining and storing the continuous stream of data from various internal and external sources is a herculean task. But organisations which have focused and achieved high data quality to a degree have benefited in the highly competitive markets. Take, Netflix, for example.

Data 72

Data Technical Review Underperforming Technical Team Analysis 72

ITONICS

NOVEMBER 20, 2019

Read more about what role Big Data and Machine Learning play in Innovation Management. He believes there are parts of the business where you even need to encourage failure, for example for new product development or marketing campaigns. Employees are CEOs of Their Ideas.

Agile 47

Agile Innovation Data Innovation Programs 47

Acuvate

DECEMBER 14, 2018

Brick and mortar stores, for example, are not the alluring staples of the retail world that they once were. This simple example illustrates how brands who want to remain successful must always be aware of the evolution of relevant technology and consumer tastes. Retail Technology Trend #1: Artificial Intelligence.

Trends 40

Trends Industry Technical Review Software Review 40

Daniel Burrus

JANUARY 4, 2018

1 Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. 3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data.

Trends 0

Trends Technical Review Artificial Inteligence Technology 0