Amit Kurhekar 🚀’s Post

In today's competitive landscape, harnessing data, analytics, and AI is crucial for organizational growth and differentiation. Key points include: Widespread Adoption: Over 52% of future-ready organizations leverage data and analytics at scale. Strategic Alignment: Aligning data and AI initiatives with business goals enables swift ROI and enterprise-wide transformation. Core Competitive Asset: Data-driven reinvention positions data as a central competitive asset. Scaling with Cloud: Using cloud technology to scale AI capabilities extends offerings and enhances data maturity. Operational Efficiency and Innovation: Data and AI boost efficiency and drive innovation, keeping businesses ahead in dynamic markets. Industry Impact: Sectors like retail and healthcare showcase data and AI’s transformative impact, from personalized experiences to improved outcomes. By prioritizing data strategies and investing in AI and cloud technologies, organizations unlock growth opportunities and sustain competitive advantage. For more info: https://lnkd.in/gMSh-JV7 #DataDriven #AI #Analytics #BusinessGrowth #DigitalTransformation #Innovation #CloudComputing #CompetitiveAdvantage #FutureReady #TechLeadership #agilebusinessconcepts #agile

In today's competitive landscape, harnessing data, analytics, and AI is crucial for organizational growth and differentiation. Key points include: Widespread Adoption: Over 52% of future-ready organizations leverage data and analytics at scale. Strategic Alignment: Aligning data and AI initiatives with business goals enables swift ROI and enterprise-wide transformation. Core Competitive Asset: Data-driven reinvention positions data as a central competitive asset. Scaling with Cloud: Using cloud technology to scale AI capabilities extends offerings and enhances data maturity. Operational Efficiency and Innovation: Data and AI boost efficiency and drive innovation, keeping businesses ahead in dynamic markets. Industry Impact: Sectors like retail and healthcare showcase data and AI’s transformative impact, from personalized experiences to improved outcomes. By prioritizing data strategies and investing in AI and cloud technologies, organizations unlock growth opportunities and sustain competitive advantage. For more info: https://lnkd.in/gK2CRi5t #DataDriven #AI #Analytics #BusinessGrowth #DigitalTransformation #Innovation #CloudComputing #CompetitiveAdvantage #FutureReady #TechLeadership #agilebusinessconcepts #agile

If we were to look back in 10 or 20 years time to today, I wonder if this is what we would say happened.. I think so.. The digital revolution transformed businesses, forcing them to become software-savvy and embrace the power of the internet. This shift led to a massive surge in data, prompting the development of big data and cloud storage solutions.  Companies learned to harness this data, becoming "data companies" that leveraged insights for better decision-making and innovation. However, data's true potential was unlocked by the rise of AI.  AI matured from theory to powerful tools, capable of analysing complex data and making accurate predictions. This sparked the "AI revolution," where businesses raced to integrate AI for increased efficiency, innovation, and a competitive edge. The key to success in this revolution lay in data quality.  Businesses invested in scalable data infrastructure, robust AI capabilities, and a workforce skilled in these areas. They also needed a secure and versatile data foundation to support AI's demanding needs.  By embracing these principles, the most successful businesses positioned themselves for leadership in the AI revolution and achieved greater innovation, efficiency, and customer satisfaction in what was an almost constantly evolving digital landscape. #ChangeManagement #BusinessTransformation #LeadershipSkills #Malikshaw #InterimManagement #Contractors #ExecutiveFunctions #Strategies #ManagementConsulting

A major issue executives and tech leaders face today: Using AI to drive business without a solid data strategy. According to a recent report from MIT Technology Review, 82% of C-suite executives and senior tech leaders (from a survey of 300) view scaling AI applications as crucial, yet 45% struggle with integrating data effectively. They face challenges that include managing large data volumes, migrating data to the cloud, and providing real-time access. It’s also highlighted that while generative AI could add trillions to the global economy, its success largely depends on having robust data strategies. For industries under tight regulations, data governance and security are especially important, with 44% of respondents marking it as a critical hurdle. The need for scalable and adaptable data management solutions is clear. These solutions make sure our AI technologies can handle today's demands and tomorrow's changes. As leaders, our focus should be on building strong data systems that are both current and future-proof. By ensuring our systems are robust and versatile, we position our organizations to thrive in a dynamic, ever-changing marketplace. Link to article: https://lnkd.in/db7E4Bzn #AI #DataStrategy #GenAI

Digital transformation is driven by several key factors that are reshaping industries globally. First, the rapid advancement of technology, including AI, machine learning, and cloud computing, enables businesses to streamline operations and enhance customer experiences. Second, the demand for data-driven decision-making has made analytics and big data crucial for gaining insights and driving innovation. Third, consumer expectations for seamless, personalized digital experiences push organizations to adopt new technologies. Fourth, the need for greater operational efficiency and cost reduction is prompting automation and digital tools to replace traditional processes. Finally, external pressures such as regulatory changes and the necessity for business continuity in times of crisis, like the COVID-19 pandemic, have accelerated digital adoption. Together, these factors are not only transforming business models but also reshaping entire industries. 👉 Connect with us: https://bit.ly/3W0YNbZ 📩 contact@synkriom.com #Synkriom #DigitalTransformation #TechTrends #technology #ai #leadership #ml #inovation #cloudcomputing #bigdata #automation #technologytrends #CulturalTransformation #DigitalTransformationTrends2024 #digitalteam #teamsynkriom #usa #digitalbusinesstransformation

If we were to look back in 10 or 20 years time to today, I wonder if this is what we would say happened.. I think so.. The digital revolution transformed businesses, forcing them to become software-savvy and embrace the power of the internet. This shift led to a massive surge in data, prompting the development of big data and cloud storage solutions.  Companies learned to harness this data, becoming "data companies" that leveraged insights for better decision-making and innovation. However, data's true potential was unlocked by the rise of AI.  AI matured from theory to powerful tools, capable of analysing complex data and making accurate predictions. This sparked the "AI revolution," where businesses raced to integrate AI for increased efficiency, innovation, and a competitive edge. The key to success in this revolution lay in data quality.  Businesses invested in scalable data infrastructure, robust AI capabilities, and a workforce skilled in these areas. They also needed a secure and versatile data foundation to support AI's demanding needs.  By embracing these principles, the most successful businesses positioned themselves for leadership in the AI revolution and achieved greater innovation, efficiency, and customer satisfaction in what was an almost constantly evolving digital landscape. #ChangeManagement #BusinessTransformation #LeadershipSkills #Malikshaw #InterimManagement #Contractors #ExecutiveFunctions #Strategies #ManagementConsulting

If we were to look back in 10 or 20 years time to today, I wonder if this is what we would say happened.. I think so.. The digital revolution transformed businesses, forcing them to become software-savvy and embrace the power of the internet. This shift led to a massive surge in data, prompting the development of big data and cloud storage solutions.  Companies learned to harness this data, becoming "data companies" that leveraged insights for better decision-making and innovation. However, data's true potential was unlocked by the rise of AI.  AI matured from theory to powerful tools, capable of analysing complex data and making accurate predictions. This sparked the "AI revolution," where businesses raced to integrate AI for increased efficiency, innovation, and a competitive edge. The key to success in this revolution lay in data quality.  Businesses invested in scalable data infrastructure, robust AI capabilities, and a workforce skilled in these areas. They also needed a secure and versatile data foundation to support AI's demanding needs.  By embracing these principles, the most successful businesses positioned themselves for leadership in the AI revolution and achieved greater innovation, efficiency, and customer satisfaction in what was an almost constantly evolving digital landscape. #ChangeManagement #BusinessTransformation #LeadershipSkills #Malikshaw #InterimManagement #Contractors #ExecutiveFunctions #Strategies #ManagementConsulting

If we were to look back in 10 or 20 years time to today, I wonder if this is what we would say happened.. I think so.. The digital revolution transformed businesses, forcing them to become software-savvy and embrace the power of the internet. This shift led to a massive surge in data, prompting the development of big data and cloud storage solutions.  Companies learned to harness this data, becoming "data companies" that leveraged insights for better decision-making and innovation. However, data's true potential was unlocked by the rise of AI.  AI matured from theory to powerful tools, capable of analysing complex data and making accurate predictions. This sparked the "AI revolution," where businesses raced to integrate AI for increased efficiency, innovation, and a competitive edge. The key to success in this revolution lay in data quality.  Businesses invested in scalable data infrastructure, robust AI capabilities, and a workforce skilled in these areas. They also needed a secure and versatile data foundation to support AI's demanding needs.  By embracing these principles, the most successful businesses positioned themselves for leadership in the AI revolution and achieved greater innovation, efficiency, and customer satisfaction in what was an almost constantly evolving digital landscape. #ChangeManagement #BusinessTransformation #LeadershipSkills #Malikshaw #InterimManagement #Contractors #ExecutiveFunctions #Strategies #ManagementConsulting

If we were to look back in 10 or 20 years time to today, I wonder if this is what we would say happened.. I think so.. The digital revolution transformed businesses, forcing them to become software-savvy and embrace the power of the internet. This shift led to a massive surge in data, prompting the development of big data and cloud storage solutions.  Companies learned to harness this data, becoming "data companies" that leveraged insights for better decision-making and innovation. However, data's true potential was unlocked by the rise of AI.  AI matured from theory to powerful tools, capable of analysing complex data and making accurate predictions. This sparked the "AI revolution," where businesses raced to integrate AI for increased efficiency, innovation, and a competitive edge. The key to success in this revolution lay in data quality.  Businesses invested in scalable data infrastructure, robust AI capabilities, and a workforce skilled in these areas. They also needed a secure and versatile data foundation to support AI's demanding needs.  By embracing these principles, the most successful businesses positioned themselves for leadership in the AI revolution and achieved greater innovation, efficiency, and customer satisfaction in what was an almost constantly evolving digital landscape. #ChangeManagement #BusinessTransformation #LeadershipSkills #Malikshaw #InterimManagement #Contractors #ExecutiveFunctions #Strategies #ManagementConsulting