Empowering the Enterprise with Google’s New AI Lineup
How will Google’s new generative AI lineup improve enterprise function and efficacy?
Greg Hohenbrink, director of cloud services at Wursta, dives deep into Google’s new generative AI lineup to showcase how enterprise leaders can harness advanced AI capabilities to improve customer and employee experience and maximize efficiency across the board.
Artificial intelligence is not a new concept. For decades we’ve seen AI gradually implemented into more of our daily lives as consumers and employees. It was 1997 when Windows released its speech recognition software, and the Roomba, our modern household hero, has been around for over 20 years now.
It wasn’t until recently, though, that we started to see a sudden boom in AI applications in the workplace. Chatbots like ChatGPT and Google’s Bard suddenly catapulted AI into the public sphere in a way we haven’t seen before, creating this inflection point where adoption is skyrocketing. Currently, the global AI market is projected to grow from $35 billion in 2022 to over $521 billion by 2028, further proving the trend is here to stay.
Key tech power players are now in a position to grow their product and service offerings strategically based on transformations in the tech industry. Google, for example, has made waves in AI news with the announcement of its own ChatBot, Bard, and additional generative AI capabilities that make it possible to increase workplace productivity and enhance customer experience.
But this isn’t Google’s first foray into AI – not even close. In fact, Google has leveraged AI as a transformational tool with advances like Smart Compose and Smart Reply, along with auto-generated Summaries in Google Docs. In addition to Bard, the tech giant shared details on a completely new lineup of AI capabilities, setting the stage for widespread adoption across industries. As a business leader, here are the capabilities you should take note of now:
See More: Exploring Generative AI’s Rise Across the Enterprise
Machine Language Learning for Content Development
Among Google’s recent vast AI rollouts, a big component to pay attention to is the option to use machine learning to develop business content. Incorporating these new technologies into Google Workspace, including but not limited to new features in Google Docs and Gmail, has the potential to completely transform modern communication.
Now, employees everywhere can skip the time and effort required to draft the first version of the content, whether it be an email, a business document, or even a whole marketing campaign. Once you input the topic you’d like to focus on, Google, with the help of AI, will generate a draft that is open to refinement and edits with suggestions along the way. These new capabilities aren’t limited to Google Docs and Gmail, either. Workers can now make the vision in their head a reality with auto-generated images, audio, and video in Google Slides and even transform raw data to insights and analysis via auto-completion, formula generation, and contextual categorization in Google Sheets.
Google’s Generative AI tools will ensure users of Google Workspace are empowered and able to spend their time connecting and growing in more meaningful ways, allowing for efficiency in the workplace like never before.
Machine Language Learning for Developers
Google’s content capabilities have certainly taken center stage in the news, but developers will also see increases in productivity thanks to the new AI offerings. Among Google Cloud’s stacked portfolio are new tools that will assist organizations in solidifying their cloud safety, security, and privacy – and all of it can be integrated into the cloud solutions already in place.
Among Google’s solutions for developers, there are two garnering the most attention: generative AI support in vertex AI and generative AI app builder.
Data science teams that take advantage of Google’s Generative AI support in Vertex AI now have access to foundation models like PaLM that they can build on and customize to their own necessities. In addition to the Google Research and DeepMind models, Google plans to slowly roll out Vertex AI support on open-source and third-party models, giving developers the freedom to utilize whichever platform best suits their needs.
Alongside Vertex AI’s new capabilities, Google also announced its plans for the Generative AI App Builder, calling it the fastest way for developers to jumpstart the creation of gen apps. For the first time, developers will be equipped with the tools needed to construct an enterprise-grade app in minutes and hours – a process that usually takes an average of 4-6 months. The Generative AI App Builder also supports additional modalities, including images and videos. These capabilities will open the doors to building apps using a variety of text and images as inputs to source information from Docs, photos, and video content, allowing them to take customer interaction to a level they’ve never seen before.
Future Applications: What’s on the Horizon for Google’s AI Tech
Google did not hold back in its product rollout last month, but one thing we’ve quickly learned about AI is that there is still plenty of evolution and learning to be done in the space.
We can expect noticeable adjustments from Google in the coming months that account for customer feedback and concerns.
Looking forward a bit further, we will likely see Google form new AI partnerships and programs in order to expand its AI ecosystem and include specialized programs for technology partners, AI-focused software providers, and startups. Part of the AI conversation that is becoming increasingly relevant is cybersecurity. In the coming months, we can expect AI to be leveraged for detecting and responding to threats, vulnerability scanning, incident response, and collecting and analyzing threat intelligence from a variety of sources. This can help businesses to better understand the threats they face and to develop more effective mitigation strategies. Maintaining a comprehensive cybersecurity strategy that includes both human and AI-powered elements will ensure your organization’s protection is ironclad.
Google Is Committed to Responsible AI
While AI is the future, it will never replace human capabilities. In order to deploy “responsible AI,” creators must ensure employees and organizations remain empowered while customers and society are positively impacted. Though businesses will begin to increasingly lean on AI in the near term, it’s important we stay aware of the measures put in place to guarantee higher success for everyone who is using or affected by AI.
Google has implemented what it calls a trusted tester program to garner feedback from its users consistently. The company acknowledges that human feedback is necessary for overall success. Therefore, it is tapping internal and external testers as new offerings are rolled out. Before anything is made widely available, Google will have already fine-tuned these capabilities based on testers’ responses.
In addition to the trusted tester program, Google shared its list of AI Principles as a sign of commitment to thoughtfully establishing widely beneficial AI. The list promises to avoid creating unfair biases, build and test for safety, remain accountable, and uphold standards of scientific excellence. Above all else, Google promises that when applying its innovative AI capabilities, users will always maintain control in order to gain exactly what they want from the technology.
Do you think there’s a need for tighter guidelines for frontrunners in AI to follow? Share your thoughts with us on Facebook, Twitter, and LinkedIn. We’d love to know what you think!
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