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By baking in governance and security throughout their data and analytics lifecycle with CDP, CDP offers full governance and security through their data and analytics lifecycle and use of the hybrid cloud allows full use of their data to meet their strategic goals in a risk-free manner.
It’s around these four work streams that leading organizations are positioning themselves to mature their datastrategies and, in doing so, answer not only today’s AI questions but tomorrow’s. So, if you, too, want to leverage AI to its fullest extent, you must first look in the mirror: Can I manage this growing volume of data?
Now, you know, we are seeing a technology shift, you know, IoT with the IoT 4.0 But we consider the situation in view, because there is a lot of volatility and uncertainty in the market, we see that, you know, AI would disrupt the CPG industry in the next two to three years, a lot of solutions will be onboarded.
Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” What are the data challenges facing manufacturers? Integrate a defensive and offensive datastrategy.
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