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AI-Driven Sales Forecasting Empowers Organizations with Control Amid Uncertainty
Chris Cabrera. AI-driven sales can solve many problems for companies failing to cope with the COVID-19 uncertainties. Heading into Q4, businesses face…
Digital Data Management Is a ‘Must’ in the Life Sciences
Most companies have learned a lot during the pandemic, both about what works for the business in these challenging times and what doesn’t. One lesson…
Skyrocketing Delivery Costs Force Retailers to Accelerate Change Through AI
As retailers gather this month for the National Retail Federation’s annual confab, no one’s expecting a year of smooth sailing as the COVID-19…
4 Surprise Techniques to Stop Wasting Time Searching For Documents
Paperwork already consumes too much time in back-office workflows, so why should it consume even more of your workday when you need to find a…
Where to Begin When Evaluating an AI Start-up for Investment
AI start-up is a game-changer proposition in 2021. The artificial intelligence (AI) sector has become a lucrative target for investment. Promising new…
Four Use Cases for AI-powered Embedded Analytics
Machine learning has been making huge strides recently, and there are few better fits for AI than in analytics. Analytics these days are embedded in…
How the Coronavirus Impacted Citizenship by Investment Programmes
Without a doubt, COVID-19 has impacted and shaped the world in which we currently find ourselves. 2020 was a year of uncertainty. With the weight of…
Top 10 Regulatory Issues Facing Businesses in the COVID-19 Era
The regulatory issues will be the number one business challenge in 2021 for companies that survived the COVID-19 scare. Even before the COVID-19…
Powering the Future of Events: The Way Forward With Digital Connectivity
In 2020, we saw the rise of Digital Connectivity in business events. The onset of the COVID-19 pandemic earlier this year saw events, conferences, and…
Measure First In a Machine Learning Model – 5 Reasons Why It Matters
The way we train machine learning models is fundamentally flawed. The current process for working on unsupervised learning problems lacks visibility.…