Neo4j in the News – End of Summer Edition: Explainable AI, Democratizing Coding, and Space Junk


Q3 News Coverage
And just like that, summer is over. Yet, somehow I feel it’s only just begun! It’s incredible how quickly time goes by, and it seems as though each and every quarter gets more and more exciting.

A number of key themes have emerged over the last three months. The most prevalent have been explainable AI, the low-code/no-code movement, space, and of course, the growth of the graph technology market!

When it comes to explainable AI, it’s clear that AI has played a huge role in transforming many areas of life and business today. Yet, its impact hasn’t been easy to quantify and it’s not uncommon to see examples of AI providing wrong answers. There is an obvious need to make AI predictions easier to trace and explain, and graph technology can help.

The low-code/no-code movement is something that has arisen as a result of the pandemic speeding up business and product timelines, a shortage of developers, and rise in connected data. Ultimately, now there is a major need for “citizen developers” to help organizations build applications quickly, and as such, companies embracing the movement will only benefit.

Space, a popular topic everywhere you look, is no doubt on our radar too. Although, we’re thinking about the longer term implications of space exploration, such as space junk and working towards safety, security, and sustainability in the Earth’s orbit!

While it’s tough to summarize, you can catch all of the exciting media coverage from this past quarter, including news articles, podcasts, and video interviews below:

How Neo4j is Leading the Graph Revolution in APAC


“If you have ever booked a flight ticket to travel to different places, there’s a 95% chance that you’re using a Neo4j application in between. If you ever send money overseas and then banks are required to do their regulatory of anti-money laundering fraud detection application and checks, it is very likely that you came up in some Neo4j system which then decided that ‘you’re not a fraud risk’ and it’s because your neighbourhood or pattern of transaction does not represent a risk,” Nik Vora, Vice President, APAC at Neo4j, highlighted in an interview with Disruptive Tech Asean. Read the article.

Databases Will Be a $100 Billion Market, Neo4j’s CEO Just Needs a Sliver


“The database market is the single biggest one in all of enterprise software. It’s about $50 billion today. But it’s going to be $100 billion,” said Emil Eifrem in an interview with Protocol’s Joe Williams. “If you are the leader of one of these big, new segments, those are massive categories.” Read the article.

Democratizing Coding in a Connected World: Where Low-code/no-code Citizen Developers and Traditional Programmers Can Meet


“By making coding accessible to more people, we can solve complex problems and understand data in a new light. Although challenges may arise when fitting low-code/no-code into an advanced technical stack, companies that embrace the movement will only benefit from bringing on citizen developers who are ready to take on new challenges,” said Amy Hodler in a contributed piece to insideBIGDATA. Read the article.

Junking Orbital Junk? The Mind Behind ASTRIAGraph Database Project Hopes to ‘Make Space Transparent’


“I’m here to make space transparent: nothing hides in space,” he said. “I want everybody to know where everything is all the time. And I want people’s behaviours, and the intended and unintended consequences of their actions to also be very transparent. And I want to facilitate scientifically informed policy in law,” Moribah Jah shared in an interview with The Register’s Lindsay Clarke. Read the article.

The Power of Graphs


“Because the world is becoming increasingly connected, data is becoming more connected. Every single day that goes, graph databases are more and more required for more and more use cases,” explained Emil Eifrem when asked about the great unbundling of the database market in a podcast interview with Robin Wauters of Tech.eu. Listen to the podcast.

FYI: If you are interested in more podcasts featuring Emil Eifrem, you can access them here:

Why Explainable AI Is the Future of Artificial Intelligence


“For AI to realise its full potential, graph technology will be essential. Without it, organisations will struggle to deliver the explainability factor required for AI to be truly trusted. And without that trusted AI, brands will pay the consequences,” Amy Hodler said in a recent piece in Disruptive LIVE. Read the article.

When AI Categorizes a Dog as a Wolf, It Needs Knowledge Graphing


“Enriching data with relationship information is expected to turn today’s predominantly ‘narrow’ AI into a ‘general’ form closely resembling human insight.” Alicia Frame, Director, Graph Data Science at Neo4j in a DigiconAsia article. Read the article.


While this really is just a taste of the exciting news from this past quarter, as always, we are so grateful to those who have shown interest in all that’s happening in the industry, at Neo4j, and with the greater graph community. There are so many more incredible stories to share and we simply can’t wait to get them out there!


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