Google has recently made an announcement regarding the integration of generative artificial intelligence (AI) models into its cloud platform and workspace, demonstrating its commitment to strengthening cybersecurity. By prioritizing generative AI, AI applications, workspaces, APIs, and cybersecurity, Google is positioning itself as a frontrunner in embracing cutting-edge technologies such as PaLM and LaMDA. This significant move sets the stage for groundbreaking progress in the field, offering fresh opportunities for improved cybersecurity measures, as stated by GlobalData, a prominent data and analytics company.
According to insights from GlobalData’s Company Analytics Database, it has been identified that the company has intentions to automate security workflows and create innovative generative AI applications.
The findings from GlobalData’s Company Analytics report indicate that Google places a strong emphasis on key technology themes, including Cybersecurity, AI, and Cloud. This focus is reflected in various datasets such as Jobs, Filings, Deals, and Social Media. Similarly, Alphabet, Google’s parent company, prioritizes themes like AI, Cloud, and Big Data in its operations and strategies.
Gain exclusive access to GlobalData’s extensive company profile reports on Google and Alphabet, providing a comprehensive and in-depth analysis of their strategies. These reports serve as a valuable resource for staying updated on market trends and making informed decisions.
“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,” said Jaya Khandelwal, Business Fundamentals Analyst at GlobalData.
GlobalData’s Company Filings Analytics database reveals that Google has outlined its intention to democratize generative AI advancements and make them available to its clients throughout its entire range of cloud services. In pursuit of this objective, the company is actively recruiting skilled professionals who will be dedicated to developing and upholding the required infrastructure to deliver robust cybersecurity and cloud computing solutions.
For example, the company is hiring for the role – “Generative AI Specialist, Google Cloud”. Based on insights from GlobalData’s Job Analytics database, the primary responsibility of this role is to assist potential clients and partners in comprehending the capabilities of Google AI. The company aims to develop cutting-edge architectures and construct AI-powered applications to meet this objective.
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 technology giant is actively searching for individuals who possess specialized knowledge in T5X, PAX, and Megatron-LM, alongside desirable proficiencies in Open Source, Big Data, Machine Learning (ML), and numerical programming frameworks. Furthermore, candidates with expertise in deep learning frameworks such as JAX, PyTorch, or TensorFlow are particularly intriguing to the company, especially for positions related to Generative AI.
“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,” concluded Khandelwal.