Acuvate

NOVEMBER 28, 2019

In the coming years, the transformative trends in the CPG industry will be driven by data and technology, services that focus on customer centricity and smart supply chains. Millennials prefer private labels over national brands due to their cost effectiveness. Using Big Data and Advanced Analytics.

Trends 72

Trends Industry Big Data Technical Review 72

Qmarkets

APRIL 9, 2024

AI and big data have been prevalent in the Qmarkets platform for a long time already, including our ‘similar idea’ engine, ‘automated clustering’, ‘content matchmaking’, ‘expert recommendations’ and more. However if you want to harness that power to create value at an enterprise level, you need a much more sophisticated solution.

Innovation Management 59

Innovation Management Management Generative AI Innovation 59

Corporate Innovation

JULY 4, 2015

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs.

Disruption 61

Disruption Big Data Technical Review Software Review 61

Corporate Innovation

JULY 4, 2015

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs.

Disruption 61

Disruption Big Data Technical Review Software Review 61

Acuvate

FEBRUARY 24, 2019

Gartner’s latest survey reveals that 95% of CIOs expect their jobs to change or be remixed due to digitalization and technology influx. From crypto jacking to IoT attacks, the cybersecurity battlefield is getting rougher every passing day, forcing organizations to divert resources and money heavily towards data security.

Technical Review 72

Technical Review Artificial Inteligence Data Big Data 72

mjvinnovation

AUGUST 11, 2020

Internet, 5G, cloud solutions, IoT, Data Science. Here at MJV, we use mixed squads, including team leaders, designers, and strategists from our facilities in Lisbon, and back-end software development provided by our teams in Brazil. BI & Big Data. IBM Integration Bus IBM Data Power. Digital Transformation.

Technical Review 52

Technical Review Software Review Data Big Data 52

eZassi

MARCH 28, 2019

Innovation solutions can also be particular to the innovation industry, which is tasked with partnering with companies to create a culture of innovation and help develop meaningful innovations. Big data can help reveal trends, identify who is working on what and help connect companies with startups and innovators across the globe.

Software Review 45

Software Review Underperforming Technical Team Software Technical Review 45

Innovation 360 Group

MARCH 26, 2019

53% said their industry has already experienced significant disruption due to AI. Our own suite of tools, including the InnoSurvey® and the ideaton360 platform, depend on AI to find patterns and explore the data more deeply. Competitors who have already started collecting that data are at a distinct advantage. Cognitive Maps.

Artificial Inteligence 40

Artificial Inteligence Technical Review Software Review Data 40

Qmarkets

JUNE 16, 2017

and Europe , people are buying fewer cars, driving less and getting less driver's licenses, suggesting a major cultural shift away from individual car ownership. Govindarajan explains how older organizations often fall into the complacency and legacy trap, i.e. focusing too much on their past successes and existing structures and cultures.

Industry 56

Industry Technical Review Software Review Disruption 56

ITONICS

MAY 14, 2018

Even though it took 7 months for the founders to persuade Bosch leadership that their vision is doable, the startup developed a software with machine learning and analytics integrated within the networks of the retailer and the IoT application. In startups, where experimentation is rooted in work culture, failing is often called “pivoting”.

Company 57

Company Technical Review Software Review Innovation 57

Acuvate

DECEMBER 14, 2018

On the other hand, the blows they suffered due to the rise of e-commerce allowed some businesses to reach record sales and connect with a much wider audience than ever before. This method helps the retailers gather meaningful data without sacrificing the opportunity to present the customer with unique offerings on site.

Trends 40

Trends Industry Technical Review Software Review 40

Linda Bernardi

JULY 24, 2017

It is due to the confluence of six factors: 1. 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. Culture change is key.

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

Integrative Innovation

JANUARY 27, 2016

Culture of experimentation (and speed). Unpredictable environments : Inherently dynamic and unpredictable industries (such as technology, software, fashion or internet retailing) require experimentation without predefined goals, embedded in the operations, to increase variance. We are headed towards a co-creative platform economy.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40