What do CIOs and CTOs deliver for the company? If you said “technology,” that’s just the beginning. According to their research, McKinsey found that 85% of CIOs and CTOs interviewed in the spring of 2019 said they were essential for at least two of the three most common CEO priorities—revenue acceleration, improved agility and time to market, and cost reduction.

IT modernization – including migrating to the cloud – is key to business growth and agility.

Yet, according to a recent McKinsey study, 80% of CIOs report that regardless of their level of cloud migration, they still haven’t reached their projected agility and business benefits.

Sometimes, this is because of issues like training and skills gaps in the IT workforce. Surprisingly often though, the barrier to reaching the goals is based on trade-offs that CIOs themselves feel they must make to strike a balance between the perfect and the possible.

But what if you could have it all without the trade-offs? As Will Grannis, Managing Director of the CTO Office at Google, and Arul Elumalai, Partner at McKinsey & Company discussed in our recent digital conference, many of the compromises CIOs make can be avoided with new technology, modern architectures and by encouraging a transformation mindset across the business.

In interviews, CIOs explained how they’ve leveraged the best of the cloud without compromising on security, agility, and flexibility. Here’s how these leaders avoid three of the top perceived trade-offs—both with technology and by transforming their operating model.

Trade-off #1: Developer agility vs. control and governance
Moving to the cloud offers new opportunities for speed, but 69% of organizations indicate that stringent security guidelines and code review processes can slow developers significantly.

One CISO of a multinational company mentioned that cloud development was so fast that they had to institute manual checks on their developers’ code. So much for agility. 

To overcome this trade-off and maintain both speed and security, some respondents found success in DevOps, hiring security-experienced talent and introducing automation for security and quality. Building in security into the CI/CD pipeline and increasing automation don’t just eliminate the tradeoff, they result in higher quality and faster innovation.

At Google Cloud, we’ve also observed that customers with strong DevOps practices have increased speed-to-market and product/service quality. From our own journey, we’ve learned seven critical lessons essential to adopting a DevOps model, ranging from taking up small projects and embracing open source to building an overall DevOps culture.

Trade-off #2: Single-vendor benefits vs. freedom from lock-in
CIOs perceive benefits to using the fewest number of clouds, specifically avoiding introducing multiple systems that require their teams to develop and maintain multiple skillsets. Unfortunately, 83% of the CIOs interviewed said that while they would prefer fewer clouds, the potential financial and technical lock-in drives them to multiple providers. 

Successful CIOs said that they can avoid lock-in pitfalls not just with contractual guardrails and executive and board education, but with evolving hybrid cloud technologies that provide additional choices.

Hybrid cloud platforms based on containers can further mitigate the risk of using a single cloud vendor. The key to successful hybrid architectures is the infrastructure abstraction and portability that containers create for them, enabling disparate environments to work together. 

This notion has been at the heart of our strategy at Google Cloud with Anthos, which provides an abstraction layer and an application modernization platform for hybrid and multi-cloud environments.

Enterprises can use Anthos to modernize how they develop, secure, and operate hybrid-cloud environments and enable consistency across cloud environments.

Trade-off #3: Best-of-breed tools vs. standardization and familiarity
Optimizing tool chains for different environments can improve productivity, but many CIOs believe that this means reduced functionality and tools.

While 77% of CIOs said they had to standardize to the lowest common denominator, some have found a better solution. Rather than giving up the languages, libraries, and frameworks that their teams prefer, effective leaders said that they found success by investing in training programs to upscale talent and adopting new open and vendor-agnostic solutions. Architectures that are based on open-source components have been the keys that helped remove this tradeoff, and eliminate the notion of a lowest common denominator. 

This is why we have built Anthos on open-source components like Kubernetes, Istio and Knative. Anthos gives your business the choice you need. With the ability to create code that works in most environments using the tools, languages, and systems you prefer, you can do more without major changes to how you work.

Regardless of your current cloud adoption level, check out “Unlock business acceleration in a hybrid cloud world” to discover more about McKinsey’s findings, including how CIOs drive agility, methods to make trade-offs unnecessary, and how to prepare your team for the cloud. Then, stay tuned for subsequent posts that  take a closer look at how hybrid solutions and strategies can help CIOs drive a transformation mindset across the business—without compromising on security, agility, and flexibility.

Job seekers can often feel lost or disconnected—like the right opportunity is out there, but they don’t know where or how to look. Employers face a similar challenge when trying to attract the right candidates. Many companies, especially large enterprises, face a talent shortage across a range of critical roles.

For global companies like Johnson & Johnson (J&J), their online career website is an important recruiting tool. It’s the “front door” for talent that could make a vital difference in the company’s future and drive innovation for years to come.

However, career sites are often underutilized. If a job seeker doesn’t find a good job match with a quick search, they will likely move on. Too often, that represents a lost opportunity for both the company and the job seeker that could have been avoided with better search results.

“Partnering with Jibe and using Cloud Talent Solution for our career site allows us to do a much better job matching opportunity to talent on a very large scale.”

—Sjoerd Gehring, Global VP of Talent Acquisition, Johnson & Johnson

While J&J receives approximately 1 million applications for 25,000 positions each year, the percent of applicants that were highly qualified for open positions was low.

Although the company always has a variety of open jobs on its career site, it noticed that even when strong matches existed between online job seekers and available positions, search results often didn’t highlight or even display the right opportunities. The user interface wasn’t intuitive enough, and job seekers couldn’t easily find their ideal positions.

As J&J began to reevaluate recruiting to take a more relationship-centric and digitally-driven approach, the company began working with Jibe, a career-site solutions provider.

Jibe introduced J&J to Cloud Talent Solution, which uses machine learning to better match job listings with job seekers’ interests and qualifications. Using Cloud Talent Solution, companies can build a compelling career-site search experience that helps candidates easily find the jobs most relevant to them. With smarter job searches and recommendations, J&J improved the effectiveness of its career site in just a few weeks.

“Jibe and Google make it easy for a large company to make a real difference in the candidate experience without investing a lot of time, money, or internal resources,” says Sjoerd Gehring, Global VP of Talent Acquisition at Johnson & Johnson. “Now that we’re using Cloud Talent Solution, our career site search results are exponentially better.”

Transforming job searches with better matches

Cloud Talent Solution better connects job seekers with jobs, because it understands the nuances of job titles, descriptions, industry jargon, and skills, matching job seeker preferences with relevant listings based on sophisticated classifications and relational models. It helps decipher job seeker queries and employer job postings, removing the manual effort of optimizing job content for search.

By using the Jibe platform to integrate Cloud Talent Solution with its career site, job seekers are more easily finding what they’re looking for and J&J is filling business critical roles more efficiently.

Since integrating Cloud Talent Solution, J&J has seen a 41% increase in high-quality job applicants per search and a nearly 45% increase in click-through rate on its career site.

“Partnering with Jibe and using Cloud Talent Solution for our career site allows us to do a much better job matching opportunity to talent on a very large scale,” adds Sjoerd. “We’re able to take a more personal approach and really connect with job seekers, which is a win.”

“Today’s job seekers expect a prospective employer’s career site to work like the other cloud services they use. Using Google’s machine learning and artificial intelligence, we can help customers like J&J get better search results and return jobs that candidates are more likely to apply to.”

—Joe Essenfeld, Founder & CEO, Jibe

Connecting people with opportunities

J&J is now offering job seekers experiences in line with what they have come to expect as consumers—searching for a job should be as easy as searching for flights, restaurants, products, and other services. Because candidates are familiar with the experience, their level of interaction and engagement goes up, creating a larger pipeline of qualified candidates and filling jobs faster.

“Today’s job seekers expect a prospective employer’s career site to work like the other cloud services they use,” says Joe Essenfeld, Founder & CEO at Jibe. “Using Google’s machine learning and artificial intelligence, we can help customers like J&J get better search results and return jobs that candidates are more likely to apply to.”

A new digital revolution for recruiting

J&J continues to work with Jibe and Google to offer new features which make its career site even more effective. By offering job seekers a transformative, engaging experience, J&J is a more attractive and visible employer, increasing the value of its brand. It’s also continuously improving its recruiting process with end-to-end visibility and feedback from interactions with a million people every year.

“Transforming our career site with Jibe and Cloud Talent Solution directly impacts our ability to attract high-quality talent and hire those candidates faster,” adds Sjoerd. “Lots of people are looking for their dream job, and if it’s here at J&J, we want them to find it quickly and easily.”

In the last year, there’s been an upward trend in cloud adoption in India. In fact, NASSCOM finds that cloud spending in India is estimated to grow at 30% per annum to cross the US$7 billion mark by 2022.

At Google, in our conversations with customers, discussions have evolved beyond cost savings and efficiencies. While those are still very relevant reasons for adopting cloud technologies, Indian enterprises are looking to Google Cloud to help them drive digital transformation, identify new revenue generating business models, reach previously untapped consumer markets, and build customer loyalty through greater insight and personalization.

Here are some companies and their stories.

Tata Steel: Mining data and maximizing its power

Tata Steel is a great example of an established enterprise from a traditional industry that is modernizing and embracing cloud computing. With an ambition to be a leader in manufacturing in India and a digital-first organization by 2022, Tata Steel believes smart analytics is key to enhancing operational efficiency and gaining business advantage. 

To organize data from siloed systems across the organization and make it easily accessible to all employees, Tata Steel is using Cloud Search and plans to scale it to more than one million documents and 28 disparate enterprise content sources including enterprise resource planning (ERP) and SharePoint. In fact, Tata Steel is one of the first Indian enterprises to harness the power of Cloud Search to meet some of the most aggressive ingestion demands, with indexing durations reduced from weeks to seconds.

They are also leveraging Google Cloud Platform (GCP) services like Google Cloud Storage and BigQuery to build their data lake and enterprise data warehouse so they can take advantage of advanced analytics and machine learning. Managed services such as AI Platform further enable Tata Steel to manage end-to-end AI/ML workflows within the GCP console. This complements their existing on-premise reporting and analytics tools, and brings data management to the forefront of everything they do—from forecasting market demand to predictive equipment maintenance.

“Digital is not just a goal, it’s become a way of life. We are digitizing everything from the deployment of factory vehicles to improving material throughput to marketing and sales. As a result, we have petabytes of structured and unstructured data that is not only waiting to be mined, but that we can generate intelligence from to create opportunities across our multiple lines of business using GCP,” said Sarajit Jha, Chief Business Transformation & Digital Solutions at Tata Steel.

Helping L&T Financial Services reach customers in rural communities

In rural communities, quick access to financial services can make a tremendous difference to livelihoods. L&T Financial Services provides farm-equipment finance, micro loans and two-wheeler finance to consumers across rural India backed by a strong digital and analytics platform. Their digital-loan approval app, which runs on GCP, makes it significantly faster and easier for people to apply for financial assistance to purchase important things such as farming equipment and two-wheelers. It also helps rural women entrepreneurs get quicker access to funds for their businesses through micro loans.

L&T Financial found G Suite to be a far better collaborative tool to help staff work together efficiently. Employees can interact with each other in real time using Hangouts Meet, and the task of information sharing is more seamless and secure through Drive. BigQuery also helps L&T Financial Services generate behavior scorecards to track credit quality of its micro-loan customers.

“Cloud is the technology that enables us to achieve scale and reach. Today there are countless data points available about rural consumers which enable us to personalize our products to serve them better. With access to faster compute power, we can also on-board consumers more efficiently. Our rural businesses have clocked a disbursement CAGR of 60% over the past three years.” said Sunil Prabhune, Chief Executive-Rural Finance, and Group Head-Digital, IT and Analytics, L&T Financial Services.

Creating conversational connections for Digitate’s customers

Digitate, a venture of TCS (Tata Consultancy Services), has integrated Dialogflow into its flagship brand ignio, an award-winning artificial intelligence platform for driving IT operations, workload operations and ERP operations for diverse enterprises. This integration is the next step in ignio’s product development journey, and will enable users to chat or talk with ignio to detect issues, triage problems, resolve them and even predict system behavior.

“ignio combines its unique self-healing AIOps capabilities for enterprise IT and business operations with Dialogflow’s AI/ML-based, easy to use, natural and rich conversational capabilities to create an unparalleled, intuitive and feature-rich experience for our customers,” says Akhilesh Tripathi, Head of Digitate.

Indian enterprises going G Suite

The base of Indian enterprises that are making the switch to G Suite to streamline their productivity and collaboration also continues to grow. Sharechat, BookMyShow, Hero MotorCorp, DB Corp and Royal Enfield are now able to move faster within their organizations, using intelligent, cloud-based apps to transform the way they work.

A hybrid and multi-cloud future in India

IDC predicts that by 2023, 55% of India 500 organizations will have a multi-cloud management strategy that includes integrated tools across public and private clouds. (IDC FutureScape: Worldwide Cloud 2019 Predictions  — India Implications (# AP43922319). We look forward to sharing more success stories of Indian enterprises that have taken the next step in their digital transformation journey.

The home lending journey entails processing an immense number of documents daily from hundreds of thousands of borrowers. Currently, home lending document processing relies on some outdated digital models and a high dependency on manual labor, resulting in slow processing times and higher origination costs. Scaling a business that sorts through millions of documents daily, while increasing efficacy and accuracy, is no small feat. When it comes to applying for a mortgage loan, consumers expect a digital experience that’s as good as the in-person one. Roostify simplifies the home lending journey for lenders and their customers.

No time to spare: Overcoming document processing challenges with AI

Roostify provides enterprise cloud applications for mortgage and home lenders. In order to empower its customers to deliver a better, more personalized lending experience, they needed to automate and scale their in-house document parsing functionality.

As a key component of its document intelligence service, Roostify is leveraging Google Cloud’s Lending DocAI machine learning platform to automate processing documents required during a home loan application process, such as tax returns or bank statements with multi-language support. This partnership delivers data capture at scale, enabling Roostify customers to automatically identify document types from the uploaded file and to extract relevant entities such as wages, tax liabilities, names, and ID numbers for further processing, and make things move faster in the cumbersome lending process. 

Roostify’s solutions leverage Google Cloud’s Lending DocAI, which is built on the recently announced Document AI platform, a unified console for document processing. Customers can easily create and customize all the specialized parsers (e.g., mortgage lending documents and tax returns parsers) on the platform without the need to perform additional data mapping or training. All Google Cloud’s specialized parsers are fine-tuned to achieve industry-leading accuracy, helping customers and partners confidently unlock insights from documents with machine learning. Learn more about the solution from the GA launch blog and the overview video.

Integrating Lending DocAI’s intelligent document processing capabilities into the Roostify platform means more innovation for their customers and tangible results: faster loan processing times, fewer document intake errors, and lower origination costs. Additional support in Google Lending DAI for other languages and more documents like global Know Your Customer (KYC) documents or payroll reports is in the near future.

Full integration of AI solutions

Working together with Roostify’s platform team, we were able to help them solve their document processing challenge through integration of various GCP products such as Lending DocAI (LDAI), Data Loss Prevention (DLP) for redacting sensitive data, BigQuery for data warehousing and analytics, and Firestore for API status. To make it very safe and secure, all data was encrypted end-to-end at Rest and in Transit. LDAI won’t require any training data to process. It is an easy plug and play API.

Here is a sneak peek in the high level deployment architecture for LDAI in Roostify environment:

Here are the steps for processing data:

1. Receives document processing request from the client.
2. API Function directs requests to the pre-processing service. For Async requests a processing ID is generated and returned to the caller.
3. Pre-processing service sends the request for further processing (Long/short PDF conversion), calling other microservices and receives back the responses. Any error in the response received is then sent to the response processing service. 
4. If the response is synchronous, the pre-processing service directs it to the LDAI Invoker service. 
   1. If the response is asynchronous, the pre-processing service feeds it into the Cloud Pub/Sub service.
5. Cloud Pub/Sub service feeds the response back to the LDAI Invoker service.
6. LDAI Invoker service routes the request to the Google LDAI API for classification if there are multiple pages in the document.
7. Document will be split based on LDAI response and then saved in a GCS bucket for temporary storage.
8. LDAI entity interface for single page processing and then LDAI Invoker sends LDAI results to LDAI Response Processing
9. If a request is a synchronous request the LDAI Response Processor sends results to the API Function so that it can complete the synchronous call and respond to the rConnect caller.
   1. If the request is an asynchronous request the LDAI Response Processor will respond to the caller’s webhook and complete the transaction.
10. Finally, Data stored in the GCP bucket will be deleted.

All the responses that come from the LDAI API can optionally feed into BigQuery via the Response Processor, after parsing it through Data Loss Prevention (DLP) API to redact the PII/sensitive information.  Throughout the processing of both asynchronous and synchronous requests all transactions are logged using Cloud Logging.  For asynchronous transactions, the state is maintained throughout the process using Cloud Firestore.

Roostify currently uses this technology to power two different solutions: Roostify Document Intelligence and Roostify Beyond™. Roostify Document Intelligence is a real-time document capture, classification, and data extraction solution built for home lenders. It ingests documents uploaded by borrowers and loan officers, identifies the relevant documents, and extracts and classifies key information. Roostify Document Intelligence is available as a standalone API service to any home lender with any digital lending infrastructure already in place. 

Roostify Beyond™ is a robust suite of AI-powered solutions that enables home lenders to create intelligent experiences from start to close. It combines powerful data, insightful analytics, and meaningful visualization to streamline the underwriting process. Roostify Beyond™ is currently available only to Roostify customers as part of an Early Adopter program and will be rolled out to the market later this year.

Through this partnership, Roostify has enabled its customers to adopt a data-first approach to their home lending processes, which will lead to improved user experiences and significantly reduced loan processing times.

Fast track end-to-end deployment with Google Cloud AI Services (AIS)

Google AIS (Professional Services Organization), in collaboration with our partner Quantiphi, helped Roostify deploy this system into production and fast-tracked the development multifold to generate the final business value.

The partnership between Google Cloud and Roostify is just one of the latest examples of how we’re providing AI-powered solutions to solve business problems.

Editor’s note: February is Black History Month—a time for us to come together to celebrate the diverse set of experiences, perspectives and identities that make up the Black experience. Over the next few weeks, we will highlight Black-led startups and how they use Google Cloud to grow their businesses. Today’s feature highlights Acclinate and its founders, Del and Tiffany. 

As patients, as caregivers, and as parents taking our own children to the doctor, we want recommended medications to be safe and effective. It’s a right everyone deserves.

It’s known that certain medications don’t work in the same way in all populations. For example, Albuterol, a medication often prescribed for asthma, is less effective in 67% of all Puerto Ricans and 47% of Black Americans. These problems—which can have deadly consequences—result from historically limited diversity in pharmaceutical clinical trials. 

We founded our startup Acclinate to integrate culture and technology to achieve more inclusive clinical research. Help pharmaceutical companies and healthcare organizations access and engage communities of color so research is more inclusive.

Bridging the health equity gap by building trust

It’s important that health research organizations access and engage communities of color so their efforts reflect all the people they serve. Take a disease like diabetes, which affects a significantly higher proportion of Black Americans. When you look at even recent clinical trials for diabetic drugs, the representation of Black Americans among participants is only in the low single digits, despite comprising 13 percent of the U.S. population and more than 40 percent of diabetes patients in this country. Industry leaders have been aware of the lack of diversity issue, but some have chosen to ignore it or brush it aside. The biggest problem, in our opinion, is that there have been no penalties for not achieving higher diversity figures in clinical trials, and only minor financial repercussions to pharma/biotech companies when their treatments either do not work across all groups once approved, or there is a lack of uptake by all groups due to the lack of testing in those groups. The lack of clinical trial diversity has adversely impacted the reputation of the industry and the ability to recruit diverse populations in the future. 

Acclinate integrates culture and technology to promote diverse patient representation in medical research. Our approach is not transactional. We build trust through our  #NOWINCLUDED community, which is an ongoing, ever-expanding digital platform that educates and engages with communities of color on health issues.

#NOWINCLUDED includes a website app, and social media presence where members can learn information about diseases, particularly those with greater negative impacts on people of color, such as cancer, diabetes, and cardiovascular diseases. Members can share stories and ask questions. By providing access to trusted resources about these health issues and the latest clinical research, we empower Black people to take control of their health and consider  participating in research that is shaping the future of healthcare.  

For healthcare-related organizations, we offer the opportunity to better understand the attitudes, aspirations, and unmet needs of underrepresented minority communities. Data from #NOWINCLUDED feeds our HIPAA-compliant SaaS platform, e-DICT™ (Enhanced Diversity in Clinical Trials), which uses predictive analytics and machine learning to identify individuals matching the requirements and most likely to be receptive to participation in a particular clinical trial.

Acclinate scales its platform with Google Cloud

We rely on Google Cloud services, including Vertex AI, to know whom to ask, when to ask, and how to ask for clinical trial participation. With Vertex AI, we enjoy a unified platform for developing our artificial intelligence models, including tools for preparing and storing our datasets. We can easily train and compare models using AutoML, which requires minimal ML expertise or effort with its intuitive graphical interface. This allows us to leverage more than ten ordinal and categorical data points to determine in real time a community member’s likelihood to enroll, which we call our Participation Probability Index (PPI). Our models evolve in an iterative process the more we interact with, and learn about, our community members.

We follow the pay-per-use Google Cloud Platform architecture model using serverless technology, which helps reduce infrastructure management costs and lets us focus on product development and engaging with communities across the U.S.

CloudSQL, a fully managed relational database service, integrates easily with BigQuery so we can glean insights for our clients in real time, all with Google Cloud’s robust security, governance, and reliability controls. Virtual Private Cloud (VPC) gives us scalable and flexible networking for our cloud-based resources and services. We also use Identity and Access Management (IAM) to simplify oversight of Google Cloud resource permissions for different user groups and roles, with appropriate security protections. 

API Gateway manages our APIs using Cloud Functions, which both use consumption-based pricing, plus give our developers consistent and highly secure access to our services through a well-defined REST API. We use Memorystore for Redis to reduce platform latency. This is done with a fully managed service powered by the Redis in-memory data store, which builds application caches for fast data access. All of this comes together to provide an outstanding experience for our platform’s users and contributors.

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Expanding influence with the Google for Startups Accelerator for Black Founders

Three months of one-on-one Google support and mentorship as part of the most recent Google for Startups Accelerator : Black Founders cohort not only helped us build our product, but also helped us earn external credibility. People use Google every day, so whether we’re trying to engage in conversations with industry experts or with somebody in a rural community, it is helpful to have the buy-in of a globally-recognized brand as we take on a historically difficult, systemic issue with challenges around trust. Getting access to the products, best practices, and people we need to build and grow through the Accelerator program has been priceless. For example, working with the Google AdWords team helped us generate important traffic from people interested in learning more about #NOWINCLUDED or sharing their story with us. Jason Scott, who leads the Google for Startups Accelerator: Black Founders program, is still connecting us to people in his network and identifying key opportunities for us months after the program wrapped. He continues to demonstrate that he is invested in seeing us succeed. 

Our company has made great progress against our goals, in part thanks to receiving capital from the Google for Startups Black Founders Fund. We received $100K in non-dilutive funding along with Google Cloud credits, Google.org Ads grants, and hands-on support. We used the funds to pay for the transition and development costs associated with moving to Google Cloud. The Google support and accountability has been incredible. After receiving the Google for Startups Black Founders Fund award, we’ve gone on to raise another $1M and moved our cloud from Salesforce to Google Cloud. 

We also had the amazing opportunity to be selected as one of six companies to take part in a face-to-face web conference with Sundar Pichai, Google’s CEO. We were thrilled to hear him explain his vision around health equity and the role Google plays. Ultimately, for us, it’s not just about the funding we get, but we are also gratified to receive support from an entity that truly believes in addressing this issue. We know Google is aligned with our mission of health and racial equity. 

Championing diversity in clinical trials

Our 2022 looks bright. We expanded our presence to Washington, D.C. as part of the Johnson & Johnson Innovation JLABS ecosystem. We were also selected to take part in the BLUE KNIGHT initiative created between Johnson & Johnson Innovation and the Biomedical Advanced Research and Development Authority (BARDA) under the U.S. Department of Health and Human Services. 

Acclinate is also on track to have contracts with five of the top 25 largest biopharmaceutical companies in the U.S this year. They’ve taken note, as has the Food and Drug Administration (FDA), that the lack of diversity in clinical trials represents a significant health concern—to the extent that the FDA has provided strong guidance for pharmaceutical companies to  diversify their clinical trials. At the same time, the industry is also responding to pressure from communities of people of color to make equitable representation a priority.

Today, we are in the fortunate but challenging position to have significant inbound opportunities coming our way. In response, we continue to recruit and hire talented people to join our team. On the technology side, we are happy to be aligned with Google Cloud to have powerful cloud infrastructure that will scale with us, as well as high-caliber champions united in partnership. With people’s lives at stake, we are passionate in our commitment to helping ensure medications do what they are supposed to do: heal and improve the quality of life for everyone who takes them. 

Hear Acclinate cofounders Del Smith and Tiffany Whitlow chat with Google’s Head of Startup Developer Ecosystem Jason Scott and fellow Black Founders Fund recipient Bobby Bryant about building on Google Cloud in a recent Google for Startups Instagram Live. 

If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more