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Big	AI	Trends	That	Will	Revamp	Fintech	In	2020
2020-09-01	by	Sneha	Das
Do	you	know	Fintech	space	is	one	of	the	largest	growing	industries	across	the	globe?	Which	technological
forces	are	ruling	in	these	industries?	How	AI	comes	into	the	role	here?	What	will	be	the	AI	trends	in	2020
here?
Just	like	the	other	industries,	technological	disruption	has	affected	the	financial	sectors	too.	This	fusion	of	technology
and	the	financial	sector	is	called	“Fintech”	and	has	now	become	a	mainstream	term.	The	rising	penetration	of	internet
users	has	brought	a	storm	in	the	market.	There	is	a	rapid	shift	to	mobile	devices	for	transactions	or	related	action.	
According	to	Mordor	Intelligence,	the	estimated	share	of	AI	in	the	fintech	market	was	USD	7.27	billion	in
2019	and	expected	to	reach	USD	35.40	billion	by	2025.	The	CAGR	of	31.5%	can	be	witnessed	during	the
forecast	period	2020	to	2025.	The	major	players	of	this	financial	tech	arena	are	IBM	Corporation,	Intel
Corporation,	Microsoft	Corporation,	IPsoft	Inc.	and	Next	IT	Corp.
“The	last	10	years	have	been	about	building	a	world	that	is	mobile-first.	In	the	next	10	years,	we	will	shift	to	a	world
that	is	AI-first.”	-Sundar	Pichai
Now,	know	the	best	AI	trends	2020	roaring	in	fintech	industries:
1.	 End	of	manual	underwriting	and	the	rise	of	‘just-in-time’	lending	paradigm.
The	future	fintech	industries	will	revolve	around	AI	that	automates	the	financial	lives	of	customers	and
improves	the	financial	results.	AI	can	perform	real-time	analysis	and	make	smart	decisions.	It	will	trigger	the
just-in-time	lending	model,	and	the	customers	will	be	given	the	best	insurance	policies	at	the	lowest	prices.
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Whereas	the	underwriters,	lenders,	money	managers	in	any	industry	are	at	risk	if	it	contains	the	crunching
numbers	to	estimate	a	return.	
2.	 Emergence	of	Fintech	Cloud	and	Infrastructure	(BaaS/IaaS)
A	real	BaaS	platform-	managed	service	for	the	developers	and	data	scientists	to	create	and	run	excellent
machine	learning	models	on	the	production.	It	enables	them	to	develop	their	financial	products	together	with	a
fintech	cloud-like	ML	cloud.	Even,	it	would	be	the	next	step	in	the	fintech	infrastructure	evolution.	
3.	 Reduced	Financial	Crime,	NLP	and	Compliance	Automation
The	risk	and	compliance	function	suffers	from	the	massive	data	load	and	exhaustive	regulative	demands.	With	NLP
(Natural	Language	Processing)	in	fintech	can	help	in	understanding	the	Govt.	regulations	and	create-sensitive	policy
tests.	This	policy	test	refers	to	an	unambiguous	set	of	the	do	and	can't	do	lists	that	every	fintech	have	to	follow	in	the
jurisdiction.	
Network	analytics	determine	the	connections	between	individuals	in	to	evaluate	the	risky	networks	and	parties.	This
leads	to	a	reduction	in	financial	crime	due	to	increased	transparency	and	liquidity	that	makes	easier	anomaly	detection.
						4.	Platform	shift	and	Voice-First	Fintechs
Voice	search	is	the	ultimate	need	of	every	industry	so	how	can	fintech	be	left?	As	we	know,	voice	is	a	default	UI	and
there	are	huge	benefits	of	voice-first	fintech.	Let's	see	how:	On-demand	micro-credit	—	“Alexa,	can	I	borrow	$500	from
Mr.A?”
Transactions-	"PNB,	send	Manish	$200	from	my	IDFC	account.”
Investments	—	“Alexa,	buy	$200	of	Bitcoin	for	me.”
We	are	in	the	new	age	of	intelligent	applications.	These	are	purpose-built,	and	the	contextual	signals	like	hardware,
sensors,	location,	previous	usage	and	predictive	computation	kept	in	mind.	In	short,	human-voice	will	be	a	primary
interface	in	2020.
							5.	AI	&	customer	loyalty’s	new	battlefield
Personalized	payroll,	salary-linked	offerings	and	benefits	will	be	the	next	trend	of	AI	in	2020.	Everyone	manages	their
salary	differently,	and	the	limited	options	of	the	banks	don't	solve	everyone's	problems.	In	contrast,	AI	will	ease	this
process	too	with	the	more	in-depth	analysis	of	transaction	history	that	results	in	the	customization	and
contextualization.	
	
							6.	AI+	Blockchain-The	Ultimate	Future
Both	blockchain	and	AI	include	technical	complexity,	and	their	joint	use	can	advance	and	improve	the	business	models
significantly.	Blockchain's	immutable	data	doesn't	require	any	centralized	verification,	that	could	be	vital	for	identity
management.	
AI	will	enable	the	execution	of	complex	and	automated	smart	contracts,	allowing	the	more	blockchain	use-cases	to	join
the	mainstream.	Some	of	these	applications	would	be	Collective	AI	Investment	Management	Platforms	and	AI
Marketplaces.
								7.	No	payment	intermediaries
With	the	ubiquitous	transformation	payment	platforms,	interoperability	will	be	the	next	norm.	The	manual	process	will
be	automated	completely	in	the	payment	process.	In	this	transformation,	interoperability	will	be	the	next	norm.	The
manual	process	will	be	entirely	automated	in	the	payment	process.	
The	advanced	and	intelligent	machine	will	know-your-customer	procedures,	perform	onboarding,	run	payment
backends,	scan	millions	of	transactions	as	well	as	sales	plus	marketing.	In	the	coming	years,	AI	will	be	a	central	driver
of	the	payment	instance	in	the	first	instance.
									8.	Collaborative	AI	and	collective	solutions	for	shared	problems:
The	collaborative	solutions	developed	on	shared	datasets	will	radically	increase	the	accuracy,	non-competitive
functions,	timeliness,	creating	mutual	efficiencies	in	the	operations	and	enhancing	the	safety	of	the	financial	system.
How	AI	aids	fintech	industries?	
The	financial	industries	were	the	early	adopters	of	computer	technology	and	have	eagerly	awaited	for	the	next	level
advancements.	If	we	talk	about	AI,	then	it	applies	the	advanced	methods	derived	from	Human	Intelligence	to	improve
the	results.	You	might	be	amazed	to	know	that	the	computational	arms	are	revolutionizing	these	industries	from	the
last	two	decades.	Below,	we	have	mentioned	the	significant	offerings	of	AI	in	fintech	companies.
Accurate	Decision	Making
The	data-driven	decisions	at	a	lower	cost	form	a	different	type	of	management	where	human	dependency	have
supplanted	the	machines.	It	comes	up	with	better	results	and	helps	the	industries	to	the	financial	agents	and	their
subordinates	to	make	better	and	right	decisions.
Automated	Virtual	Financial	Assistants
Automated	financial	assistants	help	in	monitoring	events,	stock	&	bond	price	trends	and	more	to	make	financial
decisions.	They	are	often	called	"Robo	Advisors"	and	used	in	both	the	established	as	well	as	startup	Fintech	companies.	
Automated	Customer	Support
Delivers	expert	plus	human-like	customer	service	via	text	chats	or	chatbots	and	that	too	at	a	lower	cost.	Here,	chatbots
act	as	your	‘Personal	Finance	Assistant’.
Predictive	Analysis
Another	vivid	example	of	AI	technology	in	fintech	is	predictive	analytics.	With	the	prompt	capturing,	processing	and
analysis	of	the	vast	data	sets	allows	the	business	to	predict	future	trends	better.	That's	why	traditional	analytics	tools
have	been	replaced	with	machine	learning	algorithms	for	better	data	analyzation,	risk	predictions	and	opportunity
identification.
Final	Words
It's	vital	to	learn	that	AI	capabilities	are	intertwined	with	the	development	of	all	the	other	tech	innovations.	The
emerging	technologies	are	mutually	strengthening,	and	the	advancement	in	one	technology	indirectly	boosts	the	skills
of	the	technologies	from	which	it	interacts.	To	make	the	best	use	of	these	technologies	in	your	businesses	or	rela-life
industry	you	can	hire	indian	developers	for	AI	and	other	technologies	who	are	not	only	provides	the	best	advice	but
also	develops	through	latest	trends	at	the	lowest	costs.
So,	all	these	top	AI	trends	will	rule	the	fintech	in	2020	as	well	as	the	coming	years.
Sneha	Das
Pixelcrayons	Sneha	das	is	a	senior	technical	consultant	and	a	persuasive	writer	with	8+	years	of	rich	experience	in
development	and	technology.	She	writes	exemplary	articles	in	the	field	of	technical	communication	based	on	her
research.	She	helps	people	to	learn	more	about	the	latest	technology	trends	in	the	technology	and	development
niche.View	Sneha	Das`s	profile	for	more
LEAVE	A	COMMENT
AUTHOR
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