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For more than a decade, big data has been steadily soaring. New data-driven companies have emerged and become multibillion-dollar juggernauts, while established market leaders recognized the power of data early and have invested accordingly. But like with so many things, 2020 was a wake-up call for data strategies, especially the many not delivering immediate value.
As remote working became the norm during the pandemic, more businesses have integrated AI to help things run smoothly and effectively. From improved chatbots and personalized virtual assistants in the retail and healthcare sectors to smart-learning software for education, AI systems can understand and support customers at an advanced level.
As the world grapples with the impact of the Covid-19 health crisis, organizations are searching for ways to better manage competing network resources, growing user demands, complex troubleshooting challenges, new digital transformation initiatives and technologies, and more. Enterprises have always asked IT departments to do more with less, but today, administrators are redoubling their efforts to find effective ways to improve the network while reducing operational costs.
In 2019 the practice reached $6.5 billion and is projected to reach $15 billion by 2022. Marketing today is all about algorithms, data and analytics to gain a targeted audience rather than the traditional spray-and-pray approach. The major success factor is figuring out how influencer marketing can become more effective by targeting the right audience to increase customer engagement.
As machine learning becomes more prevalent in business, it has the potential to affect a company’s day-to-day interactions with its customers, whether positively or negatively. Many businesses have already invested heavily in machine learning and have found great success. However, new tech can always be intimidating, scary or potentially difficult to implement.
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