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Top 10 CPG Industry Trends For 2020

Acuvate

Despite the increase in sales across CPG categories, top CPG brands witnessed a decrease and the cause has been cited due to increased fragmentation of customer preference for private brands. Millennials prefer private labels over national brands due to their cost effectiveness. Using Big Data and Advanced Analytics.

Trends 72
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7 Habits of Highly Innovative Companies

ITONICS

But we have good news for all those who have not yet taken the step into the right direction: Although every innovation has something new and unique, we can learn significantly from the companies that get it right and create a first how-to-plan based on their workflows, structures, and practices. Audi won big time from its Audi Ideas Program.

Company 57
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The Future of Corporate-Startup Collaboration

The Inovo Group

New software technologies and tools will make it possible to create Startup Collaboration Platforms that enable the relationships to become more automated, structured and efficient. They had recognized that many innovative initiatives fail in the early stage of development due to, among other things, a lack of secure funding.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

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
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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

IDC predicts that by 2018 more than 50 percent of large enterprises – and more than 80 percent of firms with advanced digital transformation strategies – will create and/or partner with platforms. In the first place, experimentation is about testing assumptions and hypotheses by means of a scientific learning approach.

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Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Applications of AI. Manufacturing. Conclusion.