Google’s recent announcement of integrating generative artificial intelligence (AI) models into its cloud platform and workspace highlights its dedication to bolstering cybersecurity. With a focus on generative AI, AI applications, workspaces, APIs, and cybersecurity, Google is taking the lead in adopting the latest technologies like PaLM and LaMDA. This pivotal step paves the way for revolutionary advancements in the field, opening new possibilities for enhanced cybersecurity measures, says GlobalData.
GlobalData’s Company Analytics Database reveals that the company plans to automate security workflows and develop innovative generative AI applications.
GlobalData’s Company Analytics report reveals that Google’s top tech themes are Cybersecurity, AI & Cloud across datasets such as Jobs, Filings, Deals, and Social Media, while its parent company Alphabet’s top themes are AI, Cloud & Big Data.
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Jaya Khandelwal, Business Fundamentals Analyst at GlobalData, comments: “Google places great emphasis on ensuring the safe use of generative AI in content creation and collaboration. To further accelerate innovation and maximize impact, Google is integrating its Brain Team from Google Research with DeepMind, creating a team called Google DeepMind. By combining its AI expertise with substantial computing power, infrastructure, and resources, Google DeepMind expects to rival the partnership between Microsoft and OpenAI.”
As identified by GlobalData’s Company Filings Analytics database, Google plans to make generative AI advancements accessible to its clients across its entire cloud portfolio. To achieve this goal, the tech giant is actively seeking talent for roles focusing on building and maintaining the necessary infrastructure to provide robust cybersecurity and cloud computing services.
For example, the company is hiring for the role – “Generative AI Specialist, Google Cloud”. According to GlobalData’s Job Analytics database, this role will be dedicated to help prospective customers and partners understand the power of Google AI. The company is looking to design architectures and build AI-powered applications.
Another role – “Customer Engineer, Generative AI, and Google Cloud” looks at building Google Cloud’s Generative AI services, including Large Language Model (LaMDA and PaLM,) and Google’s Machine Learning (ML) hardware Tensor.
The tech giant is seeking individuals with expertise in T5X, PAX, and Megatron-LM, as well as those with sought-after skills in Open Source, Big Data, ML, and numerical programming frameworks. Additionally, deep learning frameworks like JAX, PyTorch, or TensorFlow are particularly interesting to the company for roles related to Generative AI.
Khandelwal concludes: “As Google looks to push the boundaries of Generative AI, the integration of Google DeepMind is set to enhance the impact of its AI solutions, while further expanding its offerings to cloud clients. With fierce competition from Microsoft and OpenAI, Google’s emphasis on Generative AI as a powerful tool to predict and prioritize cybersecurity threats marks its forward-thinking approach. Some of its clients, such as Standard Industries and Lyft, are already utilizing its generative AI. And now with Google Bard being fully open to the public across countries, the possibilities for Generative AI applications across industries are vast and exciting.”