Big Tech AI Strategies
The five tech companies that have a strong AI Strategy and that have invested the most in AI startups in 2023 are Amazon, Google, Microsoft, NVIDIA, and Salesforce. They continue to amplify their focus on artificial intelligence technologies, leveraging vast amounts of data to enhance automation and innovation across various industries. Their AI capabilities are being harnessed to streamline processes, improve decision-making, and deliver personalized experiences at scale. As these firms delve deeper into AI research and development, the potential for transformative solutions and advancements in machine learning remains a key priority on their agenda. Other tech firms have joined the AI campaign.
Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Nicholas Brackney, Senior Consultant in Product Marketing at Dell, discussed the company’s AI initiatives ahead of AI & Big Data Expo North America.
Dell’s AI strategy is structured around four core principles: AI-In, AI-On, AI-For, and AI-With:
“Embedding AI capabilities in our offerings and services drives speed, intelligence, and automation,” Brackney explained. This ensures that AI is a fundamental component of Dell’s offerings.
The company also enables customers to run powerful AI workloads on its comprehensive portfolio of solutions, from desktops to data centres, across clouds, and at the edge.
AI innovation and tooling are applied for Dell’s business to enhance operations and share best practices with customers.
Finally, Dell collaborates with strategic partners within an open AI ecosystem to simplify and enhance the AI experience.
Dell is well-positioned to help customers navigate AI workloads, emphasising choice and adaptability through the various evolutions of emerging technology. Brackney highlighted Dell’s commitment to serving customers from the early stages of AI adoption to achieving AI at scale. Looking ahead, Brackney envisions a transformative role for AI within Dell and the tech industry. “We see customers in every industry wanting to become leaders in AI because it is critical to their organisation’s innovation, growth, and productivity,” he noted.
Greg Pavlik, Senior VP at Oracle Cloud, delved into the transformative power of generative AI during a special on-demand event held in conjunction with Oracle, Deloitte, and Intermedia. This exclusive session offered attendees the opportunity to delve into engaging product demonstrations, gain valuable insights from industry experts, and learn more about Oracle's cutting-edge generative AI services designed to uphold the highest standards of data security and privacy. The range of Oracle Cloud generative AI services not only include sophisticated language models tailored to specific needs but also provide advanced functionalities in chat, text generation, summarization, and text embeddings.
AI in Salesforce has revolutionized the processes industries use to market their products and the way they provide customer satisfaction. Salesforce, a leader in customer relationship management platform, stands ahead in innovation. Integrating with AI has not only transformed how businesses use Salesforce but has also charted the future of customer relationship management. Einstein is natively embedded into the Salesforce Platform and leverages data from CRM and external applications to provide insights, predictions, and generated. Salesforce also leverages AI to empower sales teams with actionable insights and recommendations. Through Einstein Lead Scoring, sales reps can prioritise leads based on their likelihood to convert, allowing them to focus their efforts on the most promising opportunities.Before the introduction of Einstein AI in Salesforce, they introduced software to store information. Marc Benioff, CEO of Salesforce, had set a significant mission for non-technical users in his mind. He wanted to introduce an AI tool, tailor-made for analyzing customer behavior easily and provide necessary solutions.
Salesforce's AI journey started in 2014 with the AI research lab and acquisitions like RelateIQ, PredictionIO, and Meta Mind. RelateIQ specializes in email analysis and lead prioritization. The goal is to analyze workplace data and help employees identify needed leads. Opportunity Scoring AI model tackled sales department challenges in 2015. It used predictive AI to prioritize leads for conversions. Salesforce launched Einstein AI in September 2016 to streamline business operations.
Generative AI helps spread AI quickly, changing many industries," shared Jensen Huang, NVIDIA's CEO. NVIDIA lets businesses tweak base models using their data to create valuable resources like intelligence and creativity. NVIDIA, a tech company famous for GPUs in gaming, visualization, data centres, and mobile devices, plays a key role here. It also makes embedded systems, mobile devices, and cloud products. The company leads in AI and machine learning tech, using GPUs to speed up progress in these fields. Nvidia supports firms using its tech to stay ahead in the AI market. This approach has led to Nvidia's remarkable growth.
Nvidia simplifies AI development for beginners with accessible software tools, such as Deep Learning frameworks. Their software seamlessly integrates with their hardware, making the development process efficient. Additionally, Nvidia offers cloud solutions for areas without physical infrastructure, granting access to high-performance computing. Through software like Clara Holoviz, Nvidia supports researchers, fostering worldwide cooperation across different disciplines. Globally, Nvidia's combination of software and hardware presents a compelling opportunity for developers and researchers alike.
ServiceNow is significantly investing in generative AI to transform its products and workforce. Chief Customer Officer Chris Bedi reports that the company has implemented over 25 generative AI use cases. “We have to transform our company just like every company on the planet,” says Bedi.
ServiceNow mandated AI roadmaps for every department, integrating AI into software engineering, HR, customer service, marketing, sales, and finance. Now, 84% of employees use generative AI daily. Bedi notes that eight to ten use cases are high impact, five are medium, and the rest lower impact.
Generative AI has brought substantial productivity gains, performing the equivalent work of 50 full-time employees in four months. Software engineers saw a 5-8% performance boost, and customer support workloads decreased by 10%. Bedi emphasizes that AI enhances jobs rather than replacing them. His role has evolved to focus entirely on customer engagement, contributing to ServiceNow’s entry into the Fortune 500 in 2023. Recently, ServiceNow introduced new AI capabilities, including ServiceNow Now Assist and Microsoft Copilot, to improve user interactions within Microsoft Teams.
Big tech firms have undeniably integrated AI into their core strategies, leveraging its capabilities to enhance products and services, streamline processes, and gain valuable insights. As these firms continue to invest heavily in AI research and development, we can expect further advancements that will shape the digital landscape. The seamless integration of AI across various sectors underscores its transformative potential, paving the way for more innovative solutions and unparalleled growth opportunities for these tech giants. In the ever-evolving tech industry, AI remains a key driver of progress and competitiveness, positioning these firms at the forefront of technological innovation and market leadership. As they navigate the complex intersection of AI and business, these companies are poised to redefine the future of technology and reshape our digital experiences.
