Articles
Artificial intelligence (AI) might evolve to the point where humans are no longer in control.
Facebook was recently forced to shut down an experiment after two artificial intelligence programs began chatting to each other in their own language.
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Marketers have been swamped for years now with emerging technologies which help them better identify prospects, target and re-target them, personalize campaigns and squeeze every ounce of value out of every advertising dollar spent.
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Raise your hand if your eyes glaze over when someone speaks of the magic of machine learning.
Machine learning is real. It's been around for years before its current return to the spotlight. But as with all technology terms, the hype often masks the reality.
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The good news is we live in a world where there is incredible depth of content.
We have more publications, websites, television and radio networks, blogs and quite frankly more ways to communicate than ever before.
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The buzz surrounding machine learning and artificial intelligence (AI) in the consumer world has rapidly bled over into the enterprise.
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The future of machine learning technology in marketing sounds promising.
Machines will not only fulfill ordinary, everyday tasks but accomplish things humans cannot even conceive of by deriving predictive models with powerful, automated technology.
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Cater to the "market of the one" — this has always been the holy grail of marketing.
Brands and marketers have always strived to understand individual consumer necessities and tried to cater to them directly through an open dialog, at scale.
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Like a modern King Arthur and all of his knights, digital marketers are forever on a quest for the holy grail: the website that personalizes itself to the consumer.
If we can customize an individual’s digital experience, the thinking goes, we can encourage them, with all the right signals
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Machine learning is the marketing topic du jour.
Marketers are turning to machine learning to find patterns in data and use analytically derived insights to predict future actions at a more finite level.
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Marketing and sales seemed to be much easier in the past.
Customers simply visited a retail shop, where they could ask a knowledgeable salesperson about a product they discovered in a local newspaper.
In recent years, the ubiquity of the internet and a state-of-the-art technology changed everything.
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A marketing makeover is underway.
Machine learning is shaking up standard practices and enabling radical improvements around personalization, customer segmentation, and campaign performance.
For early adopters of machine learning, statistics show they are edging out their competitors and creating impossible-to-ignore customer engagements.
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By now, every organization understands the need to undergo digital transformation to better serve customers and operate a better business.
But a fundamental challenge with “digital transformation” could bite you if you don’t pay attention.
Transformation implies a finite mindset and suggests that once you’ve “transformed,” your work is done.
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The buzz that surrounded Unilever’s $1 billion buy of the Dollar Shave Club was telling.
In many ways the purchase symbolizes the inability of large companies to respond quickly to new sales models and consumer behavior.
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NEW YORK CITY — You can't tell people what to buy anymore.
Now you have to go beyond product pitches and memorable jingles to engage and excite them: You actually have to take the time to build digital relationships with them by turning your marketing messages into marketing experiences.
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