It wasn't too long ago that artificial intelligence (AI) technology was merely a concept from science fiction movies. But today, AI is changing the status quo of entire industries, including marketing technology (martech). In the marketing sphere, we are increasingly seeing AI capabilities leveraged in martech tools: the use of automation capabilities used to support chatbots, personalize content, and even manage social media platforms. As consumer expectations shift, and agile, disruptive retail players enter the ecosystem, marketers need to ensure that they are still able to compete for consumers' attention across an increasing number of channels. For these marketing teams, this means ensuring any visual assets used are both accurate and compelling enough in a competitive landscape to convert consumers into paying customers.

Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials to earn better traction and win markets' advantage. Influencer marketing is experiencing an escalated growth. It is projected that the global market for influencer marketing will reach $15 billion by 2022.

Organizations are slow at adopting progressive methods. This is true for CFOs, CPAs and accountants. The accounting profession needs to prepare for change and threats to competitive advantage because there is an accelerating and disruptive digital technologies transformation in progress called the "digital revolution". We are witnessing significant changes in the nature of technologies available for today's managers and employee teams with regard to infrastructure, availability and capacity. These elements have accumulated in four key technologies often referred as SMAC – Social, Mobile, Analytics and Cloud.

Machine learning algorithms are enabling organizations to supercharge workflow processes across their enterprises. They center around technology that has the ability to learn without being explicitly programmed: machines that can study their mistakes and reprogram themselves to improve their performance over time. Lots of big names are investing R&D dollars into machine learning. Here are some ways it can help improve business operations. A workflow process is the backbone of just about every common business activity, whether it centers around finance, inventory or another back-office task.

Machine learning algorithms are enabling organizations to supercharge workflow processes across their enterprises. They center around technology that has the ability to learn without being explicitly programmed: machines that can study their mistakes and reprogram themselves to improve their performance over time. Lots of big names are investing R&D dollars into machine learning. Here are some ways it can help improve business operations. A workflow process is the backbone of just about every common business activity, whether it centers around finance, inventory or another back-office task.